|In silico approach for predicting toxicity of peptides and proteins|
S Gupta*, P Kapoor*, K Chaudhary*, A Gautam*, R Kumar, GPS Raghava, ...
PloS one 8 (9), e73957, 2013
|More is better: recent progress in multi-omics data integration methods|
S Huang, K Chaudhary, LX Garmire
Frontiers in genetics 8, 84, 2017
|Deep learning–based multi-omics integration robustly predicts survival in liver cancer|
K Chaudhary, OB Poirion, L Lu, LX Garmire
Clinical Cancer Research 24 (6), 1248-1259, 2018
|CPPsite: a curated database of cell penetrating peptides|
A Gautam, H Singh, A Tyagi, K Chaudhary, R Kumar, P Kapoor, ...
Database 2012, 2012
|In silico approaches for designing highly effective cell penetrating peptides|
A Gautam*, K Chaudhary*, R Kumar*, A Sharma*, P Kapoor, A Tyagi, ...
Journal of Translational Medicine 11 (1), 1-12, 2013
|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
|In silico models for designing and discovering novel anticancer peptides|
A Tyagi, P Kapoor, R Kumar, K Chaudhary, A Gautam, GPS Raghava
Scientific reports 3, 2984, 2013
|TumorHoPe: A Database of Tumor Homing Peptides|
P Kapoor, H Singh, A Gautam, K Chaudhary, R Kumar, GPS Raghava
PloS one 7 (4), e35187, 2012
|CancerDR: cancer drug resistance database|
R Kumar*, K Chaudhary*, S Gupta*, H Singh, S Kumar, A Gautam, ...
Scientific reports 3, 1445, 2013
|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
|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
|Deep learning accurately predicts estrogen receptor status in breast cancer metabolomics data|
FM Alakwaa, K Chaudhary, LX Garmire
Journal of proteome research 17 (1), 337-347, 2018
|Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides|
A Gautam*, K Chaudhary*, S Singh*, A Joshi, P Anand, A Tuknait, ...
Nucleic acids research 42 (D1), D444-D449, 2013
|Tumor homing peptides as molecular probes for cancer therapeutics, diagnostics and theranostics|
A Gautam, P Kapoor, K Chaudhary, R Kumar, GPS Raghava, ...
Current medicinal chemistry 21 (21), 2367-2391, 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
|An in silico platform for predicting, screening and designing of antihypertensive peptides|
R Kumar*, K Chaudhary*, JS Chauhan*, G Nagpal*, R Kumar*, M Sharma, ...
Scientific reports 5, 12512, 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), 1-13, 2016
|Gene expression-based biomarkers for discriminating early and late stage of clear cell renal cancer|
S Bhalla*, K Chaudhary*, R Kumar, M Sehgal, H Kaur, S Sharma, ...
Scientific reports 7, 44997, 2017
|Computational approach for designing tumor homing peptides|
A Sharma, P Kapoor, A Gautam, K Chaudhary, R Kumar, JS Chauhan, ...
Scientific Reports 3, 2013
|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