| CUPSAT: prediction of protein stability upon point mutations V Parthiban, MM Gromiha, D Schomburg Nucleic acids research 34 (suppl_2), W239-W242, 2006 | 804 | 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 | 513 | 2006 |
| 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 | 461 | 2021 |
| 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 | 460 | 2004 |
| COVID-19 outbreak: history, mechanism, transmission, structural studies and therapeutics D Yesudhas, A Srivastava, MM Gromiha Infection 49 (2), 199-213, 2021 | 454 | 2021 |
| 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 | 423 | 2004 |
| 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 | 384 | 2001 |
| Inter-residue interactions in protein folding and stability MM Gromiha, S Selvaraj Progress in biophysics and molecular biology 86 (2), 235-277, 2004 | 378 | 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 | 331 | 2008 |
| ASAView: Database and tool for solvent accessibility representation in proteins S Ahmad, M Gromiha, H Fawareh, A Sarai BMC bioinformatics 5 (1), 51, 2004 | 309 | 2004 |
| 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 | 286 | 1999 |
| Neurodegenerative diseases–is metabolic deficiency the root cause? VR Muddapu, SAP Dharshini, VS Chakravarthy, MM Gromiha Frontiers in neuroscience 14, 213, 2020 | 270 | 2020 |
| ProThermDB: thermodynamic database for proteins and mutants revisited after 15 years R Nikam, A Kulandaisamy, K Harini, D Sharma, MM Gromiha Nucleic acids research 49 (D1), D420-D424, 2021 | 236 | 2021 |
| 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 | 236 | 2003 |
| 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 | 190 | 2007 |
| 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 | 188 | 2006 |
| 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 | 185 | 1999 |
| 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 | 181 | 1999 |
| Protein bioinformatics: from sequence to function MM Gromiha academic press, 2011 | 166 | 2011 |
| Hydrophobic environment is a key factor for the stability of thermophilic proteins MM Gromiha, MC Pathak, K Saraboji, EA Ortlund, EA Gaucher Proteins: Structure, Function, and Bioinformatics 81 (4), 715-721, 2013 | 161 | 2013 |
Akinori SaraiProfessor, Kyushu Institute of TechnologyVerified email at sanzo.org
