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International Journal of Biological Macromolecules|April 7, 2005
Importance of main-chain hydrophobic free energy to the stability of thermophilic proteinsK Saraboji, M Michael Gromiha, M N Ponnuswamy
Journal of Molecular Biology|December 14, 2025
Integrating Sequence, Structure, and Graph-based Features for Elucidating the Stability of Thermophilic ProteinsP Ramakrishna Reddy, Fathima Ridha, M Michael Gromiha
Methods in Molecular Biology (Clifton, N.J.)|April 27, 2016
Applications of Protein Thermodynamic Database for Understanding Protein Mutant Stability and Designing Stable MutantsM Michael Gromiha, P Anoosha, Liang-Tsung Huang
Journal of Molecular Graphics & Modelling|January 27, 2016
Contribution of main chain and side chain atoms and their locations to the stability of thermophilic proteinsDharma Rao Tompa, M Michael Gromiha, K Saraboji
Biochimica Et Biophysica Acta|June 7, 2016
Prediction of change in protein unfolding rates upon point mutations in two state proteinsPriyashree Chaudhary, Athi N Naganathan, M Michael Gromiha
Bioinformatics (Oxford, England)|February 18, 2015
Folding RaCe: a robust method for predicting changes in protein folding rates upon point mutationsPriyashree Chaudhary, Athi N Naganathan, M Michael Gromiha
Advances in Bioinformatics|March 25, 2015
Development of a machine learning method to predict membrane protein-ligand binding residues using basic sequence informationM Xavier Suresh, M Michael Gromiha, Makiko Suwa
Briefings in Bioinformatics|January 23, 2024
Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learningSowmya R Krishnan, Arijit Roy, M Michael Gromiha
Journal of Molecular Biology|December 10, 2022
R-SIM: A Database of Binding Affinities for RNA-small Molecule InteractionsSowmya Ramaswamy Krishnan, Arijit Roy, M Michael Gromiha
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