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 (74), 2013
305 2013 dPABBs: A Novel in silico Approach for Predicting and Designing Anti-biofilm Peptides A Sharma, P Gupta, R Kumar, A Bhardwaj
Scientific Reports 6, 2016
131 2016 Artificial intelligence‐based classification of chest X‐ray images into COVID‐19 and other infectious diseases A Sharma, S Rani, D Gupta
International journal of biomedical imaging 2020 (1), 8889023, 2020
124 2020 Designing of peptides with desired half-life in intestine-like environment A Sharma, S Deepak, R Mamoon, RG Pal
BMC Bioinformatics 15, 282, 2014
104 2014 Computational approach for designing tumor homing peptides A Sharma, P Kapoor, A Gautam, K Chaudhary, R Kumar, JS Chauhan, ...
Sci. Rep. 3 (1607), 2013
95 2013 BioPhytMol: a drug discovery community resource on anti-mycobacterial phytomolecules and plant extracts A Sharma, P Dutta, M Sharma, NK Rajput, B Dodiya, JJ Georrge, T Kholia, ...
Journal of Cheminformatics 6, 1-10, 2014
61 2014 BIAdb: A curated database of benzylisoquinoline alkaloids D Singla, A Sharma, J Kaur, B Panwar, G Raghava
BMC pharmacology 10 (1), 4, 2010
56 2010 HIVsirDB: A Database of HIV Inhibiting siRNAs A Tyagi, F Ahmed, N Thakur, A Sharma, GPS Raghava, M Kumar
PloS one 6 (10), e25917, 2011
48 2011 Crowd Sourcing a New Paradigm for Interactome Driven Drug Target Identification in Mycobacterium tuberculosis R Vashisht, AK Mondal, A Jain, A Shah, P Vishnoi, P Priyadarshini, ...
Plos one 7 (7), e39808, 2012
47 2012 Predicting risk of low birth weight offspring from maternal features and blood polycyclic aromatic hydrocarbon concentration SN Kumar, P Saxena, R Patel, A Sharma, D Pradhan, H Singh, R Deval, ...
Reproductive Toxicology 94, 92-100, 2020
36 2020 Hmrbase: a database of hormones and their receptors M Rashid, D Singla, A Sharma, M Kumar, G Raghava
BMC genomics 10 (1), 307, 2009
35 2009 Machine learning assisted prediction of prognostic biomarkers associated with COVID-19, using clinical and proteomics data R Sardar, A Sharma, D Gupta
Frontiers in Genetics 12, 522, 2021
27 2021 Assessing therapeutic potential of molecules: molecular property diagnostic suite for tuberculosis AS Gaur, A Bhardwaj, A Sharma, L John, MR Vivek, N Tripathi, ...
Journal of Chemical Sciences 129, 515-531, 2017
21 2017 PolysacDB: a database of microbial polysaccharide antigens and their antibodies A Aithal, A Sharma, S Joshi, GPS Raghava, GC Varshney
PLoS One 7 (4), e34613, 2012
16 2012 SLTChemDB: A database of chemical compounds present in Smokeless tobacco products J Kaur, A Sharma, A Kumar, D Bhartiya, DN Sinha, S Kumari, R Gupta, ...
Scientific Reports 9 (1), 7142, 2019
14 2019 Developing a hybrid antimicrobial resistance surveillance system in India: Needs & challenges J Kaur, A Sharma, AS Dhama, H Buttolia, VC Ohri, K Walia, AK Sharma, ...
Indian J Med Res 149, 299-302, 2019
12 2019 VirulentPred 2.0: an improved method for prediction of virulent proteins in bacterial pathogens A Sharma, A Garg, J Ramana, D Gupta
Protein Science 32 (12), e4808, 2023
10 2023 iRSVPred: a web server for artificial intelligence based prediction of major basmati paddy seed varieties A Sharma, D Satish, S Sharma, D Gupta
Frontiers in Plant Science 10, 1791, 2020
8 2020 Indian major basmati paddy seed varieties images dataset A Sharma, D Satish, S Sharma, D Gupta
Data in Brief 33, 106460, 2020
2 2020 Machine learning-assisted prediction of trabeculectomy outcomes among patients of juvenile glaucoma by using 5-year follow-up data S Birla, T Varshney, A Singh, A Sharma, A Panigrahi, S Gupta, D Gupta, ...
Indian Journal of Ophthalmology 72 (7), 987-993, 2024
1 2024 