|CPPsite 2.0: a repository of experimentally validated cell-penetrating peptides|
P Agrawal, S Bhalla, SS Usmani, S Singh, K Chaudhary, GPS Raghava, ...
Nucleic acids research 44 (D1), D1098-D1103, 2016
|PEPlife: a repository of the half-life of peptides|
D Mathur, S Prakash, P Anand, H Kaur, P Agrawal, A Mehta, R Kumar, ...
Scientific reports 6 (1), 1-7, 2016
|SATPdb: a database of structurally annotated therapeutic peptides|
S Singh, K Chaudhary, SK Dhanda, S Bhalla, SS Usmani, A Gautam, ...
Nucleic acids research 44 (D1), D1119-D1126, 2016
|Novel in silico tools for designing peptide-based subunit vaccines and immunotherapeutics|
SK Dhanda, SS Usmani, P Agrawal, G Nagpal, A Gautam, GPS Raghava
Briefings in Bioinformatics 18 (3), 467-478, 2017
|In silico approach for prediction of antifungal peptides|
P Agrawal, S Bhalla, K Chaudhary, R Kumar, M Sharma, GPS Raghava
Frontiers in microbiology 9, 323, 2018
|Benchmarking of different molecular docking methods for protein-peptide docking|
P Agrawal, H Singh, HK Srivastava, S Singh, G Kishore, GPS Raghava
BMC bioinformatics 19 (13), 426, 2019
|Prediction of cell-penetrating potential of modified peptides containing natural and chemically modified residues|
V Kumar, P Agrawal, R Kumar, S Bhalla, SS Usmani, GC Varshney, ...
Frontiers in microbiology 9, 725, 2018
|Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants|
G Nagpal, K Chaudhary, P Agrawal, GPS Raghava
Journal of translational medicine 16 (1), 181, 2018
|HumCFS: a database of fragile sites in human chromosomes|
R Kumar, G Nagpal, V Kumar, SS Usmani, P Agrawal, GPS Raghava
BMC genomics 19 (9), 985, 2019
|Prediction of antimicrobial potential of a chemically modified peptide from its tertiary structure|
P Agrawal, GPS Raghava
Frontiers in microbiology 9, 2551, 2018
|NeuroPIpred: a tool to predict, design and scan insect neuropeptides|
P Agrawal, S Kumar, A Singh, GPS Raghava, IK Singh
Scientific reports 9 (1), 1-12, 2019
|In silico approaches for predicting the half-life of natural and modified peptides in blood|
D Mathur, S Singh, A Mehta, P Agrawal, GPS Raghava
PloS one 13 (6), e0196829, 2018
|Homology modeling and structural validation of tissue factor pathway inhibitor|
P Agrawal, Z Thakur, M Kulharia
Bioinformation 9 (16), 808, 2013
|Computing wide range of protein/peptide features from their sequence and structure|
RGPS Pande A, Patiyal S, Lathwal A, Arora C, Kaur D, Dhall A, Mishra G, Kaur ...
|Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease|
MJ Mason, C Schinke, CLP Eng, F Towfic, F Gruber, A Dervan, BS White, ...
Leukemia, 1-9, 2020
|NAGbinder: An approach for identifying N‐acetylglucosamine interacting residues of a protein from its primary sequence|
S Patiyal, P Agrawal, V Kumar, A Dhall, R Kumar, G Mishra, ...
Protein Science 29 (1), 201-210, 2020
|AntiCP 2.0: an updated model for predicting anticancer peptides|
P Agrawal, D Bhagat, M Mahalwal, N Sharma, PSG Raghava
Briefings in Bioinformatics, 2020
|Overview of free software developed for designing drugs based on protein-small molecules interaction|
P Agrawal, PK Raghav, S Bhalla, N Sharma, GPS Raghava
Current Topics in Medicinal Chemistry 18 (13), 1146-1167, 2018
|Evaluation of protein-ligand docking methods on peptide-ligand complexes for docking small ligands to peptides|
S Singh, HK Srivastava, G Kishor, H Singh, P Agrawal, GPS Raghava
bioRxiv, 212514, 2017
|A web-based platform on COVID-19 to maintain Predicted Diagnostic, Drug and Vaccine candidates|
S Patiyal, D Kaur, H Kaur, N Sharma, A Dhall, S Sahai, P Agrawal, ...
OSF Preprints, 2020