|THPdb: Database of FDA-approved peptide and protein therapeutics|
SS Usmani, G Bedi, JS Samuel, S Singh, S Kalra, P Kumar, AA Ahuja, ...
PloS one 12 (7), e0181748, 2017
|CancerPPD: a database of anticancer peptides and proteins|
A Tyagi, A Tuknait, P Anand, S Gupta, M Sharma, D Mathur, A Joshi, ...
Nucleic acids research 43 (D1), D837-D843, 2015
|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
|Computer-aided designing of immunosuppressive peptides based on IL-10 inducing potential|
G Nagpal, SS Usmani, SK Dhanda, H Kaur, S Singh, M Sharma, ...
Scientific reports 7 (1), 42851, 2017
|PEPstrMOD: structure prediction of peptides containing natural, non-natural and modified residues|
S Singh, H Singh, A Tuknait, K Chaudhary, B Singh, S Kumaran, ...
Biology direct 10 (1), 1-19, 2015
|A web server and mobile app for computing hemolytic potency of peptides|
K Chaudhary, R Kumar, S Singh, A Tuknait, A Gautam, D Mathur, ...
Scientific reports 6 (1), 22843, 2016
|AHTPDB: a comprehensive platform for analysis and presentation of antihypertensive peptides|
R Kumar, K Chaudhary, M Sharma, G Nagpal, JS Chauhan, S Singh, ...
Nucleic acids research 43 (D1), D956-D962, 2015
|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
|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
|Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides|
A Gautam, K Chaudhary, S Singh, A Joshi, P Anand, A Tuknait, D Mathur, ...
Nucleic acids research 42 (D1), D444-D449, 2014
|QSAR based model for discriminating EGFR inhibitors and non-inhibitors using Random forest|
H Singh, S Singh, D Singla, SM Agarwal, GPS Raghava
Biology direct 10 (1), 1-12, 2015
|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
|ParaPep: a web resource for experimentally validated antiparasitic peptide sequences and their structures|
D Mehta, P Anand, V Kumar, A Joshi, D Mathur, S Singh, A Tuknait, ...
Database 2014, bau051, 2014
|AntiAngioPred: a server for prediction of anti-angiogenic peptides|
AS Ettayapuram Ramaprasad, S Singh, R Gajendra P. S, S Venkatesan
PloS one 10 (9), e0136990, 2015
|ZikaVR: an integrated Zika virus resource for genomics, proteomics, phylogenetic and therapeutic analysis|
AK Gupta, K Kaur, A Rajput, SK Dhanda, M Sehgal, MS Khan, I Monga, ...
Scientific reports 6 (1), 32713, 2016
|The landscape of chimeric RNAs in non-diseased tissues and cells|
S Singh, F Qin, S Kumar, J Elfman, E Lin, LP Pham, A Yang, H Li
Nucleic acids research 48 (4), 1764-1778, 2020
|AntiTbPdb: a knowledgebase of anti-tubercular peptides|
SS Usmani, R Kumar, V Kumar, S Singh, GPS Raghava
Database 2018, bay025, 2018
|A cytoskeleton regulator AVIL drives tumorigenesis in glioblastoma|
Z Xie, PŁ Janczyk, Y Zhang, A Liu, X Shi, S Singh, L Facemire, K Kubow, ...
Nature communications 11 (1), 3457, 2020
|Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines|
H Singh, R Kumar, S Singh, K Chaudhary, A Gautam, GPS Raghava
BMC cancer 16 (1), 1-10, 2016