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Methods (San Diego, Calif.)|March 16, 2023
PDA-Pred: Predicting the binding affinity of protein-DNA complexes using machine learning techniques and structural featuresK Harini, Daisuke Kihara, M Michael GromihaAnalytical Biochemistry|September 9, 2015
Prediction of protein disorder on amino acid substitutionsP Anoosha, R Sakthivel, M Michael GromihaJournal of Chemical Information and Modeling|January 23, 2025
PRA-MutPred: Predicting the Effect of Point Mutations in Protein-RNA Complexes Using Structural FeaturesK Harini, M Sekijima, M Michael GromihaInternational Journal of Biological Macromolecules|June 28, 2018
An in-silico method for identifying aggregation rate enhancer and mitigator mutations in proteinsPuneet Rawat, Sandeep Kumar, M Michael GromihaCell|November 3, 1995
A nuclear export signal in hnRNP A1: a signal-mediated, temperature-dependent nuclear protein export pathwayW M Michael, M Choi, G DreyfussCurrent Opinion in Structural Biology|November 21, 2016
Protein-protein interactions: scoring schemes and binding affinityM Michael Gromiha, K Yugandhar, Sherlyn JemimahBiophysical Chemistry|September 24, 2004
Characteristic features of amino acid residues in coiled-coil protein structuresM Michael Gromiha, David A D ParryBioinformatics (Oxford, England)|March 3, 2004
Analysis and prediction of DNA-binding proteins and their binding residues based on composition, sequence and structural informationShandar Ahmad, M Michael Gromiha, Akinori SaraiBiochimica Et Biophysica Acta|November 20, 2015
Exploring preferred amino acid mutations in cancer genes: Applications to identify potential drug targetsP Anoosha, R Sakthivel, M Michael GromihaNucleic Acids Research|June 28, 2005
TMBETA-NET: discrimination and prediction of membrane spanning beta-strands in outer membrane proteinsM Michael Gromiha, Shandar Ahmad, Makiko SuwaPageof 90