M. Michael Gromiha
M. Michael Gromiha
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CUPSAT: prediction of protein stability upon point mutations
V Parthiban, MM Gromiha, D Schomburg
Nucleic acids research 34 (suppl_2), W239-W242, 2006
ProTherm and ProNIT: thermodynamic databases for proteins and protein–nucleic acid interactions
MDS Kumar, KA Bava, MM Gromiha, P Prabakaran, K Kitajima, H Uedaira, ...
Nucleic acids research 34 (suppl_1), D204-D206, 2006
ProTherm, version 4.0: thermodynamic database for proteins and mutants
KA Bava, MM Gromiha, H Uedaira, K Kitajima, A Sarai
Nucleic acids research 32 (suppl_1), D120-D121, 2004
Analysis and prediction of DNA-binding proteins and their binding residues based on composition, sequence and structural information
S Ahmad, MM Gromiha, A Sarai
Bioinformatics 20 (4), 477-486, 2004
Computational studies of drug repurposing and synergism of lopinavir, oseltamivir and ritonavir binding with SARS-CoV-2 protease against COVID-19
N Muralidharan, R Sakthivel, D Velmurugan, MM Gromiha
Journal of Biomolecular Structure and Dynamics 39 (7), 2673-2678, 2021
Comparison between long-range interactions and contact order in determining the folding rate of two-state proteins: application of long-range order to folding rate prediction
MM Gromiha, S Selvaraj
Journal of molecular biology 310 (1), 27-32, 2001
Inter-residue interactions in protein folding and stability
MM Gromiha, S Selvaraj
Progress in biophysics and molecular biology 86 (2), 235-277, 2004
ASAView: database and tool for solvent accessibility representation in proteins
S Ahmad, M Gromiha, H Fawareh, A Sarai
BMC bioinformatics 5 (1), 1-5, 2004
Prediction of RNA binding sites in a protein using SVM and PSSM profile
M Kumar, MM Gromiha, GPS Raghava
Proteins: Structure, Function, and Bioinformatics 71 (1), 189-194, 2008
COVID-19 outbreak: history, mechanism, transmission, structural studies and therapeutics
D Yesudhas, A Srivastava, MM Gromiha
Infection 49, 199-213, 2021
Important amino acid properties for enhanced thermostability from mesophilic to thermophilic proteins
MM Gromiha, M Oobatake, A Sarai
Biophysical chemistry 82 (1), 51-67, 1999
Real value prediction of solvent accessibility from amino acid sequence
S Ahmad, MM Gromiha, A Sarai
Proteins: Structure, Function, and Bioinformatics 50 (4), 629-635, 2003
FOLD-RATE: prediction of protein folding rates from amino acid sequence
MM Gromiha, AM Thangakani, S Selvaraj
Nucleic acids research 34 (suppl_2), W70-W74, 2006
Role of structural and sequence information in the prediction of protein stability changes: comparison between buried and partially buried mutations
MM Gromiha, M Oobatake, H Kono, H Uedaira, A Sarai
Protein Engineering 12 (7), 549-555, 1999
ProTherm: thermodynamic database for proteins and mutants
MM Gromiha, J An, H Kono, M Oobatake, H Uedaira, A Sarai
Nucleic acids research 27 (1), 286-288, 1999
iPTREE-STAB: interpretable decision tree based method for predicting protein stability changes upon mutations
LT Huang, MM Gromiha, SY Ho
Bioinformatics 23 (10), 1292-1293, 2007
Intermolecular and intramolecular readout mechanisms in protein–DNA recognition
MM Gromiha, JG Siebers, S Selvaraj, H Kono, A Sarai
Journal of molecular biology 337 (2), 285-294, 2004
A statistical model for predicting protein folding rates from amino acid sequence with structural class information
MM Gromiha
Journal of chemical information and modeling 45 (2), 494-501, 2005
SVM based prediction of RNA‐binding proteins using binding residues and evolutionary information
M Kumar, MM Gromiha, GPS Raghava
Journal of Molecular Recognition 24 (2), 303-313, 2011
Neurodegenerative diseases–is metabolic deficiency the root cause?
VR Muddapu, SAP Dharshini, VS Chakravarthy, MM Gromiha
Frontiers in neuroscience 14, 213, 2020
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