Saikat Chakrabarti
Saikat Chakrabarti
Indian Institute of Chemical Biology, National Centre for Biotechnology Information,
Verified email at - Homepage
Cited by
Cited by
Antiviral activity of baicalin against influenza virus H1N1-pdm09 is due to modulation of NS1-mediated cellular innate immune responses
MK Nayak, AS Agrawal, S Bose, S Naskar, R Bhowmick, S Chakrabarti, ...
Journal of Antimicrobial Chemotherapy 69 (5), 1298-1310, 2014
DNA damage-induced ephrin-B2 reverse signaling promotes chemoresistance and drives EMT in colorectal carcinoma harboring mutant p53
SK Alam, VK Yadav, S Bajaj, A Datta, SK Dutta, M Bhattacharyya, ...
Cell Death & Differentiation, 2015
Coevolution in defining the functional specificity
S Chakrabarti, AR Panchenko
Proteins: Structure, Function, and Bioinformatics 75 (1), 231-240, 2009
Identification and molecular characterization of an Alba-family protein from human malaria parasite Plasmodium falciparum
M Goyal, A Alam, MS Iqbal, S Dey, S Bindu, C Pal, A Banerjee, ...
Nucleic acids research 40 (3), 1174-1190, 2012
A transient reversal of miRNA‐mediated repression controls macrophage activation
A Mazumder, M Bose, A Chakraborty, S Chakrabarti, SN Bhattacharyya
EMBO reports 14 (11), 1008-1016, 2013
Functional specificity lies within the properties and evolutionary changes of amino acids
S Chakrabarti, SH Bryant, AR Panchenko
Journal of molecular biology 373 (3), 801-810, 2007
DBETH: A Database of Bacterial Exotoxins for Human
A Chakraborty, S Ghosh, G Chowdhary, U Maulik, S Chakrabarti
Nucleic Acids Research 40 (D1), D615-D620, 2012
Structural and functional roles of coevolved sites in proteins
S Chakrabarti, AR Panchenko
PloS one 5 (1), e8591, 2010
A survey on prediction of specificity-determining sites in proteins
A Chakraborty, S Chakrabarti
Briefings in Bioinformatics 16 (1), 71-88, 2015
Classification and prediction of protein–protein interaction interface using machine learning algorithm
S Das, S Chakrabarti
Scientific reports 11 (1), 1761, 2021
MicroRNA profiling of cisplatin-resistant oral squamous cell carcinoma cell lines enriched with cancer-stem-cell-like and epithelial-mesenchymal transition-type features
RD Ghosh, S Ghuwalewala, P Das, S Mandloi, SK Alam, J Chakraborty, ...
Scientific reports 6 (1), 23932, 2016
mTORC2 controls cancer cell survival by modulating gluconeogenesis
MW Khan, D Biswas, M Ghosh, S Mandloi, S Chakrabarti, P Chakrabarti
Cell Death Discovery 1 (1), 1-12, 2015
Analysis and prediction of functionally important sites in proteins
S Chakrabarti, CJ Lanczycki
Protein science 16 (1), 4-13, 2007
Artificial intelligence (AI)-based systems biology approaches in multi-omics data analysis of cancer
N Biswas, S Chakrabarti
Frontiers in Oncology 10, 588221, 2020
KLK5 induces shedding of DPP4 from circulatory Th17 cells in type 2 diabetes
T Nargis, K Kumar, AR Ghosh, A Sharma, D Rudra, D Sen, S Chakrabarti, ...
Molecular metabolism 6 (11), 1529-1539, 2017
Ubiquitin ligase COP1 controls hepatic fat metabolism by targeting ATGL for degradation
M Ghosh, S Niyogi, M Bhattacharyya, M Adak, DK Nayak, S Chakrabarti, ...
Diabetes 65 (12), 3561-3572, 2016
Refining multiple sequence alignments with conserved core regions
S Chakrabarti, CJ Lanczycki, AR Panchenko, TM Przytycka, PA Thiessen, ...
Nucleic acids research 34 (9), 2598-2606, 2006
Ensemble approach to predict specificity determinants: benchmarking and validation
S Chakrabarti, A Panchenko
BMC bioinformatics 10 (1), 207, 2009
Cholesterol lowering drug may influence cellular immune response by altering MHC II function
K Roy, M Ghosh, TK Pal, S Chakrabarti, S Roy
Journal of lipid research 54 (11), 3106-3115, 2013
Functional and structural analyses of CYP1B1 variants linked to congenital and adult-onset glaucoma to investigate the molecular basis of these diseases
A Banerjee, S Chakraborty, A Chakraborty, S Chakrabarti, K Ray
PLoS One 11 (5), e0156252, 2016
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