|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
|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
|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
|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), 73, 2015
|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
|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
|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
|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
|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), 10, 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, 32713, 2016
|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), 1-13, 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, 42851, 2017
|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, 2014
|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), 77, 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), 426, 2019
|The landscape and implications of chimeric RNAs in cervical cancer|
P Wu, S Yang, S Singh, F Qin, S Kumar, L Wang, D Ma, H Li
EBioMedicine 37, 158-167, 2018
|AntiAngioPred: a server for prediction of anti-angiogenic peptides|
ASE Ramaprasad, S Singh, S Venkatesan
PloS one 10 (9), e0136990, 2015
|Evaluation of protein dihedral angle prediction methods|
H Singh, S Singh, GPS Raghava
PloS one 9 (8), e105667, 2014
|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
|In silico platform for predicting and initiating β‐turns in a protein at desired locations|
H Singh, S Singh, GPS Raghava
Proteins: Structure, Function, and Bioinformatics 83 (5), 910-921, 2015