Piyush Agrawal
Piyush Agrawal
Visiting Postdoctoral Fellow, National Cancer Institute, NIH, USA
Verified email at
Cited by
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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
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
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), 36617, 2016
AntiCP 2.0: an updated model for predicting anticancer peptides
P Agrawal, D Bhagat, M Mahalwal, N Sharma, GPS Raghava
Briefings in Bioinformatics, 2020
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), 105-124, 2019
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
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
HumCFS: a database of fragile sites in human chromosomes
R Kumar, G Nagpal, V Kumar, SS Usmani, P Agrawal, GPS Raghava
BMC genomics 19, 1-8, 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
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, 1-15, 2018
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
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 ...
BioRxiv, 2019
NeuroPIpred: a tool to predict, design and scan insect neuropeptides
P Agrawal, S Kumar, A Singh, GPS Raghava, IK Singh
Scientific Reports 9 (1), 5129, 2019
Prediction of antimicrobial potential of a chemically modified peptide from its tertiary structure
P Agrawal, GPS Raghava
Frontiers in Microbiology 9, 2551, 2018
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 34 (7), 1866-1874, 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
A web-based platform on coronavirus disease-19 to maintain predicted diagnostic, drug, and vaccine candidates
S Patiyal, D Kaur, H Kaur, N Sharma, A Dhall, S Sahai, P Agrawal, ...
Monoclonal antibodies in immunodiagnosis and immunotherapy 39 (6), 204-216, 2020
A method for predicting hemolytic potency of chemically modified peptides from its structure
V Kumar, R Kumar, P Agrawal, S Patiyal, GPS Raghava
Frontiers in pharmacology 11, 54, 2020
Community assessment of the predictability of cancer protein and phosphoprotein levels from genomics and transcriptomics
M Yang, F Petralia, Z Li, H Li, W Ma, X Song, S Kim, H Lee, H Yu, B Lee, ...
Cell systems 11 (2), 186-195. e9, 2020
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
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