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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 GromihaJournal of Biomedical Informatics|March 5, 2008
Evaluating collaborative features of critical care systems: a methodological study of information technology in surgical intensive care unitsMadhu C Reddy, M Michael Shabot, Erin BradnerTransfusion|September 1, 1976
Identification of a C4 Subcomponent on C3d-coated erythrocytesJ M Michael, J A Moore, H ChaplinBioinformatics (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 GromihaAdvances 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 SuwaBriefings 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 GromihaComputational Biology and Chemistry|February 1, 2005
Relative importance of secondary structure and solvent accessibility to the stability of protein mutants. A case study with amino acid properties and energetics on T4 and human lysozymesK Saraboji, M Michael Gromiha, M N PonnuswamyForensic Science International|September 9, 2000
Efficiency of forensic mtDNA analysis. Case examples demonstrating the identification of tracesR Szibor, M Michael, I Plate, et al.Cancer Genetics and Cytogenetics|November 7, 2002
A new nonrandom unbalanced t(17;20) in myeloid malignanciesCrisoula Patsouris, Patricia M Michael, Lynda J CampbellInternational 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 PonnuswamyPageof 90