AntiCP 2.0: an updated model for predicting anticancer peptides P Agrawal, D Bhagat, M Mahalwal, N Sharma, GPS Raghava Briefings in bioinformatics 22 (3), bbaa153, 2021 | 186 | 2021 |
AlgPred 2.0: an improved method for predicting allergenic proteins and mapping of IgE epitopes N Sharma, S Patiyal, A Dhall, A Pande, C Arora, GPS Raghava Briefings in Bioinformatics 22 (4), bbaa294, 2021 | 183 | 2021 |
Computer-aided prediction and design of IL-6 inducing peptides: IL-6 plays a crucial role in COVID-19 A Dhall, S Patiyal, N Sharma, SS Usmani, GPS Raghava Briefings in bioinformatics 22 (2), 936-945, 2021 | 86 | 2021 |
Pfeature: A tool for computing wide range of protein features and building prediction models A Pande, S Patiyal, A Lathwal, C Arora, D Kaur, A Dhall, G Mishra, H Kaur, ... Journal of Computational Biology 30 (2), 204-222, 2023 | 74* | 2023 |
Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth Cell Reports Medicine 2 (6), 2021 | 60 | 2021 |
FermFooDb: A database of bioactive peptides derived from fermented foods A Chaudhary, S Bhalla, S Patiyal, GPS Raghava, G Sahni Heliyon 7 (4), 2021 | 49 | 2021 |
B3pred: A random-forest-based method for predicting and designing blood–brain barrier penetrating peptides V Kumar, S Patiyal, A Dhall, N Sharma, GPS Raghava Pharmaceutics 13 (8), 1237, 2021 | 37 | 2021 |
PRRDB 2.0: a comprehensive database of pattern-recognition receptors and their ligands D Kaur, S Patiyal, N Sharma, SS Usmani, GPS Raghava Database 2019, baz076, 2019 | 36 | 2019 |
Computing skin cutaneous melanoma outcome from the HLA-alleles and clinical characteristics A Dhall, S Patiyal, H Kaur, S Bhalla, C Arora, GPS Raghava Frontiers in genetics 11, 221, 2020 | 35 | 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 | 29 | 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 | 28 | 2020 |
ChAlPred: A web server for prediction of allergenicity of chemical compounds S Neelam, P Sumeet, D Anjali, DL Naorem, RPS Gajendra Computers in Biology Medicine 136 (September 2021), 104746, 2021 | 27 | 2021 |
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 | 26 | 2020 |
IL13Pred: A method for predicting immunoregulatory cytokine IL-13 inducing peptides S Jain, A Dhall, S Patiyal, GPS Raghava Computers in Biology and Medicine 143, 105297, 2022 | 20 | 2022 |
B3Pdb: an archive of blood–brain barrier-penetrating peptides V Kumar, S Patiyal, R Kumar, S Sahai, D Kaur, A Lathwal, GPS Raghava Brain Structure and Function 226, 2489-2495, 2021 | 20 | 2021 |
CancerEnD: a database of cancer associated enhancers R Kumar, A Lathwal, V Kumar, S Patiyal, PK Raghav, GPS Raghava Genomics 112 (5), 3696-3702, 2020 | 18 | 2020 |
An ensemble method for prediction of phage-based therapy against bacterial infections S Aggarwal, A Dhall, S Patiyal, S Choudhury, A Arora, GPS Raghava Frontiers in Microbiology 14, 1148579, 2023 | 17* | 2023 |
Computer-aided prediction of inhibitors against STAT3 for managing COVID-19 associated cytokine storm A Dhall, S Patiyal, N Sharma, NL Devi, GPS Raghava Computers in Biology and Medicine 137 (October 2021), 104780, 2021 | 16 | 2021 |
Cell-to-cell and type-to-type heterogeneity of signaling networks: insights from the crowd JSR Attila Gabor, Marco Tognetti, Alice Driessen, Jovan Tanevski, Baosen Guo ... Molecular Systems Biology 17 (10), 2021 | 14 | 2021 |
ccPDB 2.0: an updated version of datasets created and compiled from Protein Data Bank P Agrawal, S Patiyal, R Kumar, V Kumar, H Singh, PK Raghav, ... Database 2019, bay142, 2019 | 14 | 2019 |