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Mechanistic principles of antimicrobial peptides uncovered by charge density-based machine learning, H Malshikare, UD Priyakumar, P Chatterjee, D Sengupta, Chem. Commun. 2026, 62, 4067-4070.
Towards self-driving/autonomous material discovery lab, UD Priyakumar, J. Chem. Sci. 2026, 137, 82.
Theoretical investigation of the stabilities and reactivities of AumCun \rmAu_m\rmCu_n Metallic Clusters (m+ n= 13), PK Pal, UD Priyakumar, Chem. Asian J. 2025, 20, e01926.
Kinetic vs thermodynamic controlled promiscuous biocatalytic asymmetric Henry reaction in diastereocomplementary synthesis of β-Nitroalcohols, A Chatterjee, PK Pal, UD Priyakumar, SK Padhi, ACS Catalysis 2025, 15, 9682-9694.
Modern machine learning methods for protein property prediction, A Dosajh, P Agrawal, P Chatterjee, UD Priyakumar, Cur. Opin. Struct. Bio. 2025, 90, 102990.
Wearable bioelectrical impedance analyzer for estimation and monitoring of thoracic fluid, M Yadav, K Bella, A Anand, K Devrade, V Kiron, A Kumar, UD Priyakumar, M Maity, IEEE India Council International Subsections Conference (INDISCON), 2025, doi: 10.1109/INDISCON66021.2025.11251666.
Leveraging high-spin DFT features for prediction of spin state gaps in 3d transition metal complexes, AK Ray, S Nagar, G Varma, UD Priyakumar, A Paul, Phys. Chem. Chem. Phys. 2025, 27, 20717-20725.
Dissecting errors in machine learning for retrosynthesis: a granular metric framework and a transformer-based model for more informative predictions, AS Tadanki, HSP Rao, UD Priyakumar, Digital Discovery 2025, 4, 831-845.
Generative artificial intelligence for small molecule drug design, GC Kanakala, S Devata, P Chatterjee, UD Priyakumar, Cur. Opin. Biotech. 2024, 89, 103175.
GraphDDI: Graph neural network for prediction of drug-drug interaction, S Gupta, S Laghuvarapu, UD Priyakumar, International Conference on AI in Healthcare, 2024, 17-30.
Self-supervised modality-agnostic pre-training of swin Transformers, A Talasila, M Maity, UD Priyakumar, IEEE International Symposium on Biomedical Imaging (ISBI) 2024, doi: 10.1109/ISBI56570.2024.10635811.
Deep reinforcement learning in chemistry: A review. B Sridharan, A Sinha, J Bardhan, R Modee, M Ehara, UD Priyakumar, J. Comp. Chem. 2024, 45, 1886-1898.
Plas-20k: Extended dataset of protein-ligand affinities from md simulations for machine learning applications, DB Korlepara, D. B., CS Vasavi, R Srivastava, PK Pal, S Raza, V Kumar,... UD Priyakumar, Sci. Data, 2024 11, 180.
Spectra to structure: Contrastive learning framework for library ranking and generating molecular structures for infrared spectra, GC Kanakala, B Sridharan, UD Priyakumar, Digital Discovery, 2024, 3, 818-829.
Molecular property diagnostic suite for COVID-19 (MPDSCOVID-19): an open-source disease-specific drug discovery portal, L Priyadarsinee, E Jamir, S Nagamani, HJ Mahanta, N Kumar, L John, H Sarma, A Kumar, AS Gaur, R Sahoo, S Vaikundamani, AN Murugan UD Priyakumar,... GN Sastry, GigaByte, 2024, 1-17.
DeepSPInN–deep reinforcement learning for molecular structure prediction from infrared and 13 C NMR spectra, S Devata, B Sridharan, S Mehta, Y Pathak, S Laghuvarapu, G Varma, UD Priyakumar, Digital Discovery 2024, 3, 818-829.
Streamlining pipeline efficiency: a novel model-agnostic technique for accelerating conditional generative and virtual screening pipelines, K Viswanathan, M Goel, S Laghuvarapu, G Varma, UD Priyakumar, Sci. Rep. 2023, 13, 21069.
MolOpt: Autonomous molecular geometry optimization using multiagent reinforcement learning, R Modee, S Mehta, S Laghuvarapu, UD Priyakumar, J. Phys. Chem. B 2023, 127, 10295-10303.
A machine learning approach for outcome prediction in postanoxic coma patients using frequency domain features, VV Venkataramani, A Garg, M Maity, UD Priyakumar, Computing in Cardiology (CinC), 2023, 50, doi: 10.22489/CinC.2023.255.
Self-supervision and weak supervision for accurate and interpretable chest X-ray classification models, A Talasila, A Karthikeyan, S Alle, M Maity, UD Priyakumar, International Joint Conference on Neural Networks (IJCNN), 2023, doi: 10.1109/IJCNN54540.2023.10191913.
Single-lead to multi-lead electrocardiogram reconstruction using a modified attention U-Net framework, A Garg, VV Venkataramani, UD Priyakumar, International Joint Conference on Neural Networks (IJCNN), 2023, doi: 10.1109/IJCNN54540.2023.10191213.
MeGen-generation of gallium metal clusters using reinforcement learning, R Modee, A Verma, K Joshi, UD Priyakumar, Mach. Learn.: Sci Techol. 2023, 4, 025032.
Efficient and enhanced sampling of drug-like chemical space for virtual screening and molecular design using modern machine learning methods, M Goel, R Aggarwal, B Sridharan, PK Pal, UD Priyakumar, WIREs, 2023, 13, e1637.
PREHOST: Host prediction of coronaviridae family using machine learning, A Chaturvedi, K Borkar, UD Priyakumar, PK Vinod, Heliyon 2023, 9, e13646.
Carbodicarbenes and striking redox transitions of their conjugate acids: influence of NHC versus CAAC as donor substituents, R Dolai, R Kumar, BJ Elvers, PK Pal, B Joseph, R Sikari, MK Nayak, A Maity, T Singh, N Chrysochos, A Jayaraman, I Krummenacher, J Mondal, UD Priyakumar,... A Jana, Chem. Eur. J. 2023, 29, e202202888.
Latent biases in machine learning models for predicting binding affinities using popular data sets, GC Kanakala, R Aggarwal, D Nayar, UD Priyakumar, ACS Omega 2023, 8, 2389-2397.
Staufen‐2 functions as a cofactor for enhanced Rev‐mediated nucleocytoplasmic trafficking of HIV‐1 genomic RNA via the CRM1 pathway, K Balakrishnan, P Munusami, K Mohareer, UD Priyakumar, A Banerjee, T Luedde,... S Banerjee, FEBS J. 2022, 289, 6731-6751.
MO-MEMES: A method for accelerating virtual screening using multi-objective bayesian optimization, S Mehta, M Goel, UD Priyakumar, Frontiers Med. 2022, 9, 916481.
Tetra-coordinated boron-functionalized phenanthroimidazole-based zinc salen as a photocatalyst for the cycloaddition of CO2 and epoxides, P Nayak, AC Murali, PK Pal, UD Priyakumar, V Chandrasekhar, K Venkatasubbaiah, Inorg. Chem. 2022, 61, 14511-14516.
PLAS-5k: Dataset of protein-ligand affinities from molecular dynamics for machine learning applications, DB Korlepara, CS Vasavi, S Jeurkar, PK Pal, S Roy, S Mehta,... UD Priyakumar, Sci. Data 2022, 9, 548.
Synthesis of α‐aryl ketones by harnessing the non‐innocence of toluene and its derivatives: Enhancing the acidity of methyl arenes by a Brønsted base and their mechanistic aspects, R Sreedharan, PK Pal, PKR Panyam, UD Priyakumar, T Gandhi, Asian J. Org. Chem. 2022, 11, e202200372.
Structure-based drug repurposing: Traditional and advanced AI/ML-aided methods, C Choudhury, NA Murugan, UD Priyakumar, Drug Discov. Today 2022, 27, 1847-1861.
Deep reinforcement learning for molecular inverse problem of nuclear magnetic resonance spectra to molecular structure, B Sridharan, S Mehta, Y Pathak, UD Priyakumar, J. Phys. Chem. Lett. 2022, 13, 4924-4933.
BIRDS-binding residue detection from protein sequences using deep resnets, VR Chelur, UD Priyakumar, J. Chem. Inf. Model. 2022, 62, 1809-1818.
COVID-19 risk stratification and mortality prediction in hospitalized indian patients: Harnessing clinical data for public health benefits, S Alle, A Kanakan, S Siddiqui, A Garg, A Karthikeyan, P Mehta,..., UD Priyakumar, PloS One 2022, 17, e0264785.
Artificial intelligence: Machine learning for chemical sciences, A Karthikeyan, UD Priyakumar, U. D. J. Chem. Sci. 2022, 134, 1-20.
Mining subgraph coverage patterns from graph transactions, AS Reddy, PK Reddy, A Mondal, UD Priyakumar, Int. J. Data Sci. Anal. 2022, 1-17.
Benchmark study on deep neural network potentials for small organic molecules, R Modee S Laghuvarapu, UD Priyakumar, J. Comput. Chem. 2022, 43, 308-318.
Modern AI/ML methods for healthcare: Opportunities and challenges, A Garg, VV Venkataramani, A Karthikeyan, UD Priyakumar, International Conference on Distributed Computing and Internet Technology 2022, 3-25.
Modified variable kernel length ResNets for heart murmur detection and clinical outcome prediction using multi-positional phonocardiogram recording, VV Venkataramani, A Garg, UD Priyakumar, Computing in Cardiology (CinC) 2022, 1-4.
Modern machine learning for tackling inverse problems in chemistry: molecular design to realization, B Sridharan, M Goel, UD Priyakumar, U. D. Chem. Commun. 2022, 58, 5316-5331.
Molecular representations for machine learning applications in chemistry, S Raghunathan, UD Priyakumar, Int. J. Quant. Chem. 2022, 122, e26870.
DeepPocket: ligand binding site detection and segmentation using 3D convolutional neural networks, R Aggarwal, A Gupta, V Chelur, CV Jawahar, UD Priyakumar, U. D. J. Chem. Inf. Model. 2022 62, 5069-5079.
MolGPT: molecular generation using a transformer-decoder model, V Bagal, R Aggarwal, PK Vinod, UD Priyakumar, J. Chem. Inf. Model. 2022, 62, 2064-2076.
A model of graph transactional coverage patterns with applications to drug discovery, AS Reddy, PK Reddy, A Mondal, UD Priyakumar, IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC) 2021, 21-30.
MoleGuLAR: molecule generation using reinforcement learning with alternating rewards, M Goel, S Raghunathan, S Laghuvarapu, UD Priyakumar, J. Chem. Inf. Model. 2021, 61, 5815-5826.
Desolvation of peptide bond by O to S substitution impacts protein stability, B Khatri, S Raghunathan, S Chakraborti, R Rahisuddin, S Kumaran, R Tadala, P Wagh, UD Priyakumar, J Chatterjee, Angew. Chemie Int. Ed. 2021, 60, 24870-24874.
IMLE-Net: An interpretable multi-level multi-channel model for ECG classification, L Reddy, V Talwar, S Alle, RS Bapi, UD Priyakumar, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021, 1068-1074.
Stereomutation in tetracoordinate centers via stabilization of planar tetracoordinated systems, K Yadav, U Lourderaj, UD Priyakumar, Atoms, 2021, 9, 79.
SCONES: self-consistent neural network for protein stability prediction upon mutation, YB Samaga, S Raghunathan, UD Priyakumar, J. Phys. Chem. B 2021, 125, 10657-10671.
Linear prediction residual for efficient diagnosis of Parkinson’s disease from gait, S Alle, UD Priyakumar, Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, 614-623.
Host metabolic reprogramming in response to SARS-CoV-2 infection: A systems biology approach, STR Moolamalla, R Balasubramanian, R Chauhan, UD Priyakumar, PK Vinod, Microbial Pathogenesis 2021, 158, 105114.
Clinico-genomic analysis reveals mutations associated with COVID-19 disease severity: possible modulation by RNA structure, P Mehta, S Alle, A Chaturvedi, A Swaminathan, S Saifi, R Maurya, P Chattopadhyay, P Devi, R Chauhan, A Kanakan, JS Vasudevan, R Sethuraman, S Chidambaram, M Srivastava, A Chakravarthi, J Jacob, M Namagiri, V Konala, S Jha, UD Priyakumar, PK Vinod, R Pandey, Pathogens, 2021, 10, 1109.
APOBIND: A dataset of ligand unbound protein conformations for machine learning applications in de novo drug design, R Aggarwal, A Gupta, UD Priyakumar, ICML workshop in Computational Biology 2021.
Ion selectivity and permeation mechanism in a cyclodextrin-based channel, P Musunuru, S Padhi, UD Priyakumar, J. Phys. Chem. B 2021, 125, 8028-8037.
Multiscale modeling of wobble to Watson–Crick-like guanine–uracil tautomerization pathways in RNA, S Chandorkar, S Raghunathan, T Jaganade, UD Priyakumar, Int. J. Mol. Sci. 2021, 22, 5411.
Machine learning based clinical decision support system for early COVID-19 mortality prediction, A Karthikeyan, A Garg, PK Vinod, UD Priyakumar, Front. Public Health, 2021, 9, 626697.
MMBERT: Multimodal BERT pretraining for improved medical VQA, Y Khare, V Bagal, M Mathew, A Devi, UD Priyakumar, CV Jawahar, IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, 1033-1036.
Learning atomic interactions through solvation free energy prediction using graph neural networks, Y Pathak, S Mehta, UD Priyakumar, J. Chem. Inf. Model. 2021, 61, 689-698.
MEMES: Machine learning framework for enhanced molecular screening, S Mehta, S Laghuvarapu, Y Pathak, A Sethi, M Alvala, UD Priyakumar, Chem. Sci. 2021, 12, 11710-11721.
Synthesis and reactivity of NHC-coordinated phosphinidene oxide, D Dhara, PK Pal, R Dolai, N Chrysochos, H Rawat, BJ Elvers, I Krummenacher, H Braunschweig, C Schulzke, V Chandrasekhar. UD Priyakumar, A Jana, Chem. Commun. 2021, 57, 9546-9549.
DART: deep learning enabled topological interaction model for energy prediction of metal clusters and its application in identifying unique low energy isomers, R Modee, S Agarwal, A Verma, K Joshi, UD Priyakumar Phys. Chem. Chem. Phys. 2021, 23, 21995-22003.
Urea-water solvation of protein side chain models, T Jaganade, A Chattopadhyay, S Raghunathan, UD Priyakumar, J. Mol. Liq. 2020, 311, 113191.
Machine learning for accurate force calculations in molecular dynamics simulations, P Pattnaik, S Raghunathan, T Kalluri, P Bhimalapuram, CV Jawahar, UD Priyakumar, J. Phys. Chem. A 2020, 124, 6954-6967 (Virtual Special Issue on Machine Learning for Physical Chemistry).
The HIV-1 vpu transmembrane domain topology and formation of a hydrophobic interface with bst-2 are critical for vpu-mediated bst-2 downregulation, N Khan, S Padhi, P Patel, UD Priyakumar, S Jameel, bioRxiv, 2020.06. 28.176289.
Chemically interpretable graph interaction network for prediction of pharmacokinetic properties of drug-like molecules, Y Pathak, S Laghuvarapu, S Mehta, U Priyakumar, Proceedings of the 34th AAAI Conference, New York, 2020, 34, 873-880.
BAND NN: A deep learning framework for energy prediction and geometry optimization of organic small molecules, S Laghuvarapu, Y Pathak, UD Priyakumar, J. Comp. Chem. 2020, 41, 790-799.
Urea-aromatic interactions in biology, S Raghunathan, T Jaganade, UD Priyakumar, Biophys. Rev. 2020, 12, 65-84.
Transition between [R]- and [S]-stereoisomers without bond breaking, S Raghunathan, K Yadav, VC Rojisha, T Jaganade, V Prathyusha, S Bikkina, U Lourderaj, UD Priyakumar, Phys. Chem. Chem. Phys. 2020, 22, 14983-14991.
Deep learning enabled inorganic material generator, Y Pathak, KS Juneja, G Varma, M Ehara, UD Priyakumar, Phys. Chem. Chem. Phys. 2020, 22, 26935-26943.
Enantioseparation and chiral induction in Ag29 nanoclusters with intrinsic chirality, H Yoshida, M Ehara, UD Priyakumar, T Kawai, T Nakashima, Chem. Sci. 2020, 11, 2394-2400.
Selectivity and transport in aquaporins from molecular simulation studies, S Padhi, UD Priyakumar, In G Litwack (Eds) Vitamins and Hormones: Aquaporin Regulation, 2020, 112, 47-70.
Cholic acid-derived amphiphile which combats gram-positive bacteria-mediated infections via disintegration of lipid clusters, S Kumar, J Thakur, K Yadav,... S Padhi,... UD Priyakumar, U Dasgupta, L Thukral, A Bajaj, ACS Biomater. Sci. Eng. 2019, 5, 4764-4775.
Comparative study of the efficiency of Au, Ag, Pd and Pt based mono and bimetallic trimer clusters for the CO oxidation reaction, S Gurtu, S Rai, UD Priyakumar, J. Ind. Chem. Soc. 2019, 96, 921-931.
Energetic, structural and dynamic properties of nucleobase-urea interactions that aid in urea assisted RNA unfolding, T Jaganade, A Chattopadhyay, NM Pazhayam, UD Priyakumar, Sci. Rep., 2019, 9 , 8805.
Gold‐palladium nanocluster catalysts for homocoupling: electronic structure and interface dynamics, M Ehara, UD Priyakumar, Chem. Rec. 2019, 19, 947-959.
Recent advancements in computing reliable binding free energies in drug discovery projects, NA Murugan, V Poongavanam, UD Priyakumar, In: C. Mohan (Eds.) Structural Bioinformatics: Applications in Preclinical Drug Discovery Process. Challenges and Advances in Computational Chemistry and Physics, 2019, 27, 221-246.
Computational modeling of the catalytic mechanism of hydroxymethylbilane synthase, N Bung, A Roy, UD Priyakumar, G Bulusu, Phys. Chem. Chem. Phys. 2019, 21, 7932-7940.
Quantum mechanical investigation of the nature of nucleobase-urea stacking interaction, a crucial driving force in RNA unfolding in aqueous urea, N Alodia, T Jaganade, UD Priyakumar, J. Chem. Sci. 2018, 130, 158.
A probabilistic framework for constructing temporal relations in replica exchange molecular trajectories, A Chattopadhyay, M Zheng, MP Waller, UD Priyakumar, J. Chem. Theory Comput. 2018, 14, 3365-3380.
Model molecules to classify CH⋯ O hydrogen-bonds, AM Vibhute, UD Priyakumar, A Ravi, KM Sureshan, Chem. Commun. 2018, 54, 4629-4632.
pH-mediated gating and formate transport mechanism in the Escherichia coli formate channel, S Padhi, LK Reddy, UD Priyakumar, Mol. Simul. 2017, 2018, 43, 1300-1306.
Role of urea–aromatic stacking interactions in stabilizing the aromatic residues of the protein in urea-induced denatured state, S Goyal, A Chattopadhyay, K Kasavajhala, UD Priyakumar, J. Am. Chem. Soc. 2017, 139, 14931-14946.
Temperature dependence of the stability of ion pair interactions, and its implications on the thermostability of proteins from thermophiles, S Bikkina, AP Bhati, S Padhi, UD Priyakumar, J. Chem. Sci. 2017, 129, 405-414.
Modeling complex biomolecular systems and processes using molecular mechanics force fields and molecular dynamics simulations, S Padhi, UD Priyakumar, In: D. Kumar (Eds.) Theoretical and Computational Advances: From Atoms to Molecules to Materials, 2017, 105-127.
Microsecond simulation of human aquaporin 2 reveals structural determinants of water permeability and selectivity, S Padhi, UD Priyakumar, BBA-Biomembranes, 2017, 1859, 10-16.
Urea mimics nucleobases by preserving the helical integrity of B-DNA duplexes via hydrogen bonding and stacking interactions, G Suresh, S Padhi, I Patil, UD Priyakumar, Biochemistry 2016, 55, 5653-5664.
Urea–aromatic stacking and concerted urea transport: conserved mechanisms in urea transporters revealed by molecular dynamics, S Padhi, UD Priyakumar, J. Chem. Theory Comput. 2016, 12, 5190-5200.
Ligand-induced stabilization of a duplex-like architecture is crucial for the switching mechanism of the SAM-III riboswitch, G Suresh, H Srinivasan, S Nanda, UD Priyakumar, Biochemistry 2016, 55, 3349-3360.
Structure, interaction, and dynamics of Au/Pd bimetallic nanoalloys dispersed in aqueous ethylpyrrolidone, a monomeric moiety of polyvinylpyrrolidone, A Gupta, B Boekfa, H Sakurai, M Ehara, UD Priyakumar, J. Phys. Chem. C 2016, 120, 17454-17464.
Cooperation of hydrophobic gating, knock-on effect, and ion binding determines ion selectivity in the p7 channel, S Padhi, UD Priyakumar, J. Phys. Chem. B 2016, 120, 4351-4356.
Dynamic ligand-based pharmacophore modeling and virtual screening to identify mycobacterial cyclopropane synthase inhibitors, C Choudhury, UD Priyakumar, GN Sastry, J. Chem. Sci. 2016, 128, 719-732.
Structural and functional diversities of the hexadecahydro‐1H‐cyclopenta [a] phenanthrene framework, a ubiquitous scaffold in steroidal hormones, C Choudhury, U Deva Priyakumar, G Narahari Sastry, Molecular Inform. 2016, 35, 145-157.
Ability of density functional theory methods to accurately model the reaction energy pathways of the oxidation of CO on gold cluster: A benchmark study, S Gurtu, S Rai, M Ehara, UD Priyakumar, Theor. Chem. Acc. 2016, 135, 93.
Sumoylation of Sir2 differentially regulates transcriptional silencing in yeast, A Hannan, NM Abraham, S Goyal, I Jamir, UD Priyakumar, K Mishra, Nucleic Acids Res. 2015, 43, 10213-10226.
Modeling the structure of SARS 3a transmembrane protein using a minimum unfavorable contact approach, S Ramakrishna, S Padhi, UD Priyakumar, J. Chem. Sci. 2015, 127, 2159-2169.
Molecular dynamics study of the structure, flexibility, and hydrophilicity of PETIM dendrimers: a comparison with PAMAM dendrimers, S Kanchi, G Suresh, UD Priyakumar, KG Ayappa, PK Maiti, J. Phys. Chem. B 2015, 119, 12990-13001.
Atomistic details of the molecular recognition of DNA-RNA hybrid duplex by ribonuclease H enzyme, G Suresh, UD Priyakumar, J. Chem. Sci. 2015, 127, 1701-1713.
Inclusion of methoxy groups inverts the thermodynamic stabilities of DNA–RNA hybrid duplexes: A molecular dynamics simulation study, G Suresh, UD Priyakumar, J. Mol. Graph. Model. 2015, 61, 150-159.
Ion hydration dynamics in conjunction with a hydrophobic gating mechanism regulates ion permeation in p7 viroporin from hepatitis C virus, S Padhi, UD Priyakumar, J. Phys. Chem. B 2015, 119, 6204-6210.
Small-molecule inhibitors of ERK-mediated immediate early gene expression and proliferation of melanoma cells expressing mutated BRaf, R Samadani, J Zhang, A Brophy, T Oashi, UD Priyakumar, EP Raman, ..., AD MacKerell Jr., P Shapiro, Biochem. J. 2015, 467, 425-438.
Dynamics based pharmacophore models for screening potential inhibitors of mycobacterial cyclopropane synthase, C Choudhury, UD Priyakumar, GN Sastry, J. Chem. Inf. Model. 2015, 55, 848-860.
Prediction of the structures of helical membrane proteins based on a minimum unfavorable contacts approach, S Padhi, S Ramakrishna, UD Priyakumar, J. Comp. Chem. 2015, 36, 539-552.
Dispersion interactions between urea and nucleobases contribute to the destabilization of RNA by urea in aqueous solution, K Kasavajhala, S Bikkina, I Patil, AD MacKerell Jr, UD Priyakumar, J. Phys. Chem. B 2015, 119, 3755-3761.
Nucleobases tagged to gold nanoclusters cause a mechanistic crossover in the oxidation of CO, S Rai, M Ehara, UD Priyakumar, Phys. Chem. Chem. Phys. 2015, 17, 24275-24281.
Binding to gold nanoclusters alters the hydrogen bonding interactions and electronic properties of canonical and size-expanded DNA base pairs, S Rai, H Singh, UD Priyakumar, RSC Adv. 2015, 5, 49408-49419.
Double zipper helical assembly of deoxyoligonucleotides: mutual templating and chiral imprinting to form hybrid DNA ensembles, N Narayanaswamy, G Suresh, UD Priyakumar, T Govindaraju, Chem. Commun. 2015, 51, 5493-5496.
Molecular dynamics investigation of the active site dynamics of mycobacterial cyclopropane synthase during various stages of the cyclopropanation process, C Choudhury, UD Priyakumar, GN Sastry, J. Struct. Biol. 2014, 187, 38-48.
Atomistic investigation of the effect of incremental modification of deoxyribose sugars by locked nucleic Acid (β-d-LNA and α-l-LNA) moieties on the structures and thermodynamics of DNA-RNA hybrid duplexes, G Suresh, UD Priyakumar, J. Phys. Chem. B 2014, 118, 5853-5863.
Atomistic detailed mechanism and weak cation-conducting activity of HIV-1 Vpu revealed by free energy calculations, S Padhi, RR Burri, S Jameel, UD Priyakumar, PloS One 2014, 9, e112983.
Modulation of structural, energetic and electronic properties of DNA and size-expanded DNA bases upon binding to gold clusters, S Rai, S Ranjan, H Singh, UD Priyakumar, RSC Adv. 2014, 4, 29642-29651.
DNA–RNA hybrid duplexes with decreasing pyrimidine content in the DNA strand provide structural snapshots for the A-to B-form conformational transition of nucleic acids, G Suresh, UD Priyakumar, Phys. Chem. Chem. Phys. 2014, 16, 18148-18155.
Solvent‐induced helical assembly and reversible chiroptical switching of chiral cyclic‐dipeptide‐functionalized naphthalenediimides, S Manchineella, V Prathyusha, UD Priyakumar, T Govindaraju, Chem. Eur. J. 2013, 19, 16615-16624.
Structures, dynamics, and stabilities of fully modified locked nucleic acid (β-d-LNA and α-l-LNA) duplexes in comparison to pure DNA and RNA duplexes, G Suresh, UD Priyakumar, J. Phys. Chem. B 2013, 117, 5556-5564.
Synthesis and reactivity studies of dicationic dihydrogen complexes bearing sulfur‐donor ligands: A combined experimental and computational study, T Gandhi, S Rajkumar, V Prathyusha, UD Priyakumar, Euro. J. Inorg. Chem. 2013, 2013, 1434-1443.
Role of conformational properties on the transannular Diels–Alder reactivity of macrocyclic trienes with varying linker lengths, V Prathyusha, UD Priyakumar, RSC Adv. 2013, 3, 15892-15899.
Molecular dynamics simulations reveal the HIV-1 Vpu transmembrane protein to form stable pentamers, S Padhi, N Khan, S Jameel, UD Priyakumar, PLoS One 2013, 8, e79779.
Crenarchaeal chromatin proteins Cren7 and Sul7 compact DNA by inducing rigid bends, RPC Driessen, H Meng, G Suresh, R Shahapure, G Lanzani, UD Priyakumar..., Nucleic Acids Res. 2013, 41, 196-205.
Inter-versus intra-molecular cyclization of tripeptides containing tetrahydrofuran amino acids: a density functional theory study on kinetic control, NVS Kumar, UD Priyakumar, H Singh, S Roy, TK Chakraborty, J. Mol. Model. 2012, 18, 3181-3197.
Transannular Diels–Alder reactivities of 14-membered macrocylic trienes and their relationship with the conformational preferences of the reactants: A combined quantum chemical and molecular dynamics study, V Prathyusha, S Ramakrishna, UD Priyakumar, J. Org. Chem. 2012, 77, 5371-5380.
Computational investigation of the effect of thermal perturbation on the mechanical unfolding of titin I27, N Bung, UD Priyakumar, J. Mol. Model. 2012, 18, 2823-2829.
Role of hydrophobic core on the thermal stability of proteins—molecular dynamics simulations on a single point mutant of Sso7d, UD Priyakumar, J. Biomol. Struct. Dyn. 2012, 29, 961-971.
Characterization of ERK docking domain inhibitors that induce apoptosis by targeting Rsk-1 and caspase-9, SR Boston, R Deshmukh, S Strome, UD Priyakumar, AD MacKerell, P Shapiro, BMC Cancer 2011, 11, 7.
Impact of 2′‐hydroxyl sampling on the conformational properties of RNA: Update of the CHARMM all‐atom additive force field for RNA, EJ Denning, UD Priyakumar, L Nilsson, AD Mackerell Jr, J. Comput. Chem. 2011, 32, 1929-1943.
Molecular simulations on the thermal stabilization of DNA by hyperthermophilic chromatin protein Sac7d, and associated conformational transitions, UD Priyakumar, G Harika, G Suresh, J. Phys. Chem. B 2010, 114, 16548-16557.
Atomistic details of the ligand discrimination mechanism of SMK/SAM-III riboswitch, UD Priyakumar, J. Phys. Chem. B 2010, 114, 9920-9925.
Structural and energetic determinants of thermal stability and hierarchical unfolding pathways of hyperthermophilic proteins, Sac7d and Sso7d, UD Priyakumar, S Ramakrishna, KR Nagarjuna, SK Reddy, J. Phys. Chem. B 2010, 114, 1707-1718.
Role of the adenine ligand on the stabilization of the secondary and tertiary interactions in the adenine riboswitch, UD Priyakumar, AD MacKerell Jr, J. Mol. Biol. 2010, 396, 1422-1438.
Urea destabilizes RNA by forming stacking interactions and multiple hydrogen bonds with nucleic acid bases, UD Priyakumar, C Hyeon, D Thirumalai, AD MacKerell Jr, J. Am. Chem. Soc. 2009, 131, 17759-17761.
Molecular modeling of base flipping, UD Priyakumar, AD MacKerell Jr, In: Ed. Grosjean (Eds.) DNA and RNA modification enzymes: Structure, mechanism, function and evolution, 2009, 51-64.
Atomic detail investigation of the structure and dynamics of DNA•RNA hybrids: A molecular dynamics study, UD Priyakumar, AD MacKerell Jr, J. Phys. Chem. B 2008, 112, 1515-1524.
Computational approaches for investigating base flipping in oligonucleotides, UD Priyakumar, AD MacKerell, Chem. Rev. 2006, 106, 489-505.
NMR imino proton exchange experiments on duplex DNA primarily monitor the opening of purine bases, UD Priyakumar, AD MacKerell, J. Am. Chem. Soc. 2006, 128, 678-679.
Base flipping in a GCGC containing DNA dodecamer: A comparative study of the performance of the nucleic acid force fields, CHARMM, AMBER, and BMS, UD Priyakumar, AD MacKerell, J. Chem. Theory Comput. 2006, 2, 187-200.
A lipophilic hexaporphyrin assembly supported on a stannoxane core, V Chandrasekhar, S Nagendran, R Azhakar, MR Kumar, A Srinivasan,... UD Priyakumar, GN Sastry, J. Am. Chem. Soc. 2005, 127, 2410-2411.
Conformational determinants of tandem GU mismatches in RNA: insights from molecular dynamics simulations and quantum mechanical calculations, Y Pan, UD Priyakumar, AD MacKerell Jr, Biochemistry 2005, 44, 1433-1443.
Exploration of C6H6 potential energy surface: A computational effort to unravel the relative stabilities and synthetic feasibility of new benzene isomers, TC Dinadayalane, UD Priyakumar, GN Sastry, J. Phys. Chem. A 2004, 108, 11433-11448.
Development of predictive models of π-facial selectivity; a critical study of nucleophilic addition to sterically unbiased ketones, UD Priyakumar, GN Sastry, G Mehta, Tetrahedron 2004, 60, 3465-3472.
C21H9Z (Z=− 3 to+ 3): a theoretical study on the redox behaviour of C3 symmetric fragment of C60, UD Priyakumar, GN Sastry, J. Mol. Struct. Theochem 2004, 674, 69-75.
Facile valence isomerization among bis (silacyclopropenyl), disila (Dewar benzene) and disilabenzvalene, UD Priyakumar, M Punnagai, GN Sastry, J. Organomet. Chem. 2004, 689, 1284-1287.
A computational study of cation–π interactions in polycyclic systems: exploring the dependence on the curvature and electronic factors, UD Priyakumar, M Punnagai, GPK Mohan, GN Sastry, Tetrahedron 2004, 60, 3037-3043.
The design of molecules containing planar tetracoordinate carbon, UD Priyakumar, AS Reddy, GN Sastry, Tetrahedron Lett. 2004, 45, 2495-2498.
A system with three contiguous planar tetracoordinate carbons is viable: a computational study on a C6H62= isomer, UD Priyakumar, GN Sastry, Tetrahedron Lett. 2004, 45, 1515-1517.
Basis set and method dependence of the relative energies of C2S2H2 isomers, D Vijay, UD Priyakumar, GN Sastry, Chem. Phys. Lett. 2004, 383, 192-197.
Design of neutral hydrocarbons having a planar tetracoordinate carbon, U Priyakumar, GN Sastry, Ind. J. Chem. A 2004, 43, 455-457.
On the use of NICS criterion to evaluate aromaticity in heteroaromatics involving III and IV row main group elements, A Saieswari, UD Priyakumar, GN Sastry, J. Mol. Struct. Theochem 2003, 663, 145-148.
Cation-π interactions of curved polycyclic systems: M+ (M= Li and Na) ion complexation with buckybowls, UD Priyakumar, GN Sastry, Tetrahedron Lett. 2003, 44, 6043-6046.
The tricyclo [2.1. 0.02, 5] pentan-3-one system: a new probe for the study of π-facial selectivity in nucleophilic additions, G Mehta, SR Singh, UD Priyakumar, GN Sastry, Tetrahedron Lett. 2003, 44, 3101-3104.
Silaaromaticity in polycyclic systems: A computational study, DM Dhevi, UD Priyakumar, GN Sastry, J. Org. Chem. 2003, 68, 1168-1171.
Measures to evaluate heteroaromaticity and their limitations: Story of skeletally substituted benzenes, UD Priyakumar, GN Sastry, J. Chem. Sci. 2003, 115, 49.
The effect of bulky group substitution on the skeleton, geometries, relative energies and the reactivities of silabenzene valence isomers, DM Dhevi, UD Priyakumar, GN Sastry, J. Mol. Struct. Theochem 2002, 618, 173-179.
Isomers of disilabenzene (C4Si2H6): A computational study, UD Priyakumar, D Saravanan, GN Sastry, Organometallics 2002, 21, 4823-4832.
π-Facial selectivities in nucleophilic additions to 4-hetero-tricyclo [5.2. 1.02, 6] decan-10-ones and 4-hetero-tricyclo [5.2. 1.02, 6] dec-8-en-10-ones: an experimental and computational study, G Mehta, V Gagliardini, UD Priyakumar, GN Sastry, Tetrahedron Lett. 2002, 43, 2487-2490.
Theoretical study of silabenzene and its valence isomers, UD Priyakumar, GN Sastry, Organometallics 2002, 21, 1493-1499.
A theoretical study of the structures, energetics, stabilities, reactivities, and out-of-plane distortive tendencies of skeletally substituted benzenes (CH)5XH and (CH)4(XH)2 (X = B-, N+, Al-, Si, P+, Ga-, Ge, and As+), UD Priyakumar, GN Sastry, J. Org. Chem. 2002, 67, 271-281.
Ring closure synthetic strategies toward buckybowls: benzannulation versus cyclopentannulation, UD Priyakumar, GN Sastry, J. Chem. Soc., Perkin Trans. 2 2002, 94-101.
A computational study of the valence isomers of benzene and their group V hetero analogs, UD Priyakumar, TC Dinadayalane, GN Sastry, New J. Chem. 2002, 26, 347-353.
The bicyclo [2.1. 1] hexan-2-one system: a new probe for the experimental and computational study of electronic effects in π-facial selectivity in nucleophilic additions, G Mehta, SR Singh, V Gagliardini, UD Priyakumar, GN Sastry, Tetrahedron Lett. 2001, 42, 8527-8530.
Heterobuckybowls: a theoretical study on the structure, bowl-to-bowl inversion barrier, bond length alternation, structure-inversion barrier relationship, stability, and synthetic feasibility, UD Priyakumar, GN Sastry, J. Org. Chem. 2001, 66, 6523-6530.
Theoretical studies on the effect of sequential benzannulation to corannulene, TC Dinadayalane, UD Priyakumar, GN Sastry, J. Mol. Struct. Theochem 2001, 543, 1-10.
First ab initio and density functional study on the structure, bowl-to-bowl inversion barrier, and vibrational spectra of the elusive C 3 v-Symmetric Buckybowl: Sumanene, C21H12, UD Priyakumar, GN Sastry, J. Phys. Chem. A 2001, 105, 4488-4494.
An ab initio and DFT study of the valence isomers of pyridine, UD Priyakumar, TC Dinadayalane, GN Sastry, Chem. Phys. Lett. 2001, 337, 361-367.
Tailoring the curvature, bowl rigidity and stability of heterobuckybowls: theoretical design of synthetic strategies towards heterosumanenes, UD Priyakumar, GN Sastry, J. Mol. Graphics Model. 2001, 19, 266-269.
Structures, energetics and vibrational spectra of the valence isomers of phosphinine. An ab initio and DFT study, UD Priyakumar, TC Dinadayalane, GN Sastry, Chem. Phys. Lett. 2001, 336, 343-348.
Theory provides a clue to accomplish the synthesis of sumanene, C21H12, the prototypical C3v-buckybowl, UD Priyakumar, GN Sastry, Tetrahedron Lett. 2001, 42, 1379-1381.
The role of heteroatom substitution in the rigidity and curvature of buckybowls. A theoretical study, GN Sastry, UD Priyakumar, J. Chem. Soc., Perkin Trans. 2 2001, 30-40.
Effect of substitution on the curvature and bowl-to-bowl inversion barrier of bucky-bowls. Study of mono-substituted corannulenes (C19XH10, X= B−, N+, P+ and Si), GN Sastry, HSP Rao, P Bednarek, UD Priyakumar, Chem. Commun. 2000, 843-844.
Structure, stability and reactivity parameters of (CH)8 isomers and their cation and anion radical counterparts : A theoretical study, U Priyakumar, GN Sastry, Ind J. Chem. A 2000, 32, 92-99.
Structures, energetics, relative stabilities, and out-of-plane distortivities of skeletally disubstituted benzenes,(CH) 4X2 (X= N, P, C-, Si-, O+, and S+): An ab initio and DFT study, UD Priyakumar, GN Sastry, J. Am. Chem. Soc. 2000, 122, 11173-11181.
⦿ System and method for exploring chemical space during molecular design using a machine learning model, UD Priyakumar, S Mehta, S Laghuvarapu, Y Pathak, Patent App # 202041050608
⦿ Method of wearable bioimpedance device for monitoring and determining thoracic fluid concentration using DL model, M Maity, V Kiron, UD Priyakumar, M Yadav, S Shukla, Patent App # 202441012070
⦿ Chest-worn bioimpedance device with adjustable electrode system for cardiac health, UD Priyakumar, M Maity, V Kiron, M Yadav, Patent App # 422400-001
Please see our GitHub page for code repositories for all the ML methods we have developed. If you are interested in learning ML4Science, you may find some simple exercises/solved solutions useful.
PLAS-5k
Five independent short molecular dynamics simulations were done on 5,000 protein-ligand different protein-ligand complexes. Following this free energy of binding was calculated using the Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) method. This dataset contains the trajectories, binding free energies, and the energy components such as electrostatic, van der Waals, polar, and non-polar solvation energies. This dataset could be used for Machine Learning applications for different use cases. Due to its large size, different variations of this dataset are provided.
Reference: Scientific Data volume 9, Article number: 548 (2022)
Link to dataset
PLAS-20k
An additional 15,000 protein-ligand complexes were added to the PLAS-5k dataset to create the PLAS-20k dataset. Hence, please note that if you are downloading PLAS-20k dataset, you will not PLAS-5k.
Reference: Scientific Data volume 11, Article number: 180 (2024)
Link to dataset
AI3 (Amazon-IIITHyd-Intel-Insilico)
Collaborative effort from IIIT Hyderabad, Intel, AWS, and In silico Medicine resulted in this dataset. This is similar to PLAS-20k dataset except that these were performed on CPU-based machines with OpenMD MD engine. If you are interested, either PLAS-20k or AI3 dataset. However, we are continuing the PLAS-20k work and more data will become available that is compatible with PLAS-20k so that fine tuning your model or improving your ML models with more data is possible.
Blog
Link to dataset
License
APO-BIND
A dataset of ligand-unbound protein conformations for machine learning applications. Ligand-free protein structure equivalents for 10,599 protein-ligand complexes were curated from the PDBbind v.2019 database. This effort aimed to facilitate computation and large-scale validation of structure-based drug design methods using apo structures. The ligand-free structures were identified by mining the PDB database for apo protein structures that showed strong sequence and structural alignment with the proteins found in PDBbind.
Reference: 2021 ICML Workshop on Computational Biology
Link to dataset
PLAS-5k-HES
Coming soon...