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Journal 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|January 15, 2024
PRA-Pred: Structure-based prediction of protein-RNA binding affinityK Harini, M Sekijima, M Michael GromihaInternational Journal of Biological Macromolecules|June 25, 2026
PDA-MutPred: Reliable prediction of binding affinity change upon mutation in protein-DNA complexesK Harini, N Yasuo, M Sekijima, et al.Current Opinion in Structural Biology|December 1, 2024
Protein-nucleic acid complexes: Docking and binding affinityM Michael Gromiha, K HariniMethods (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 GromihaMethods in Molecular Biology (Clifton, N.J.)|November 22, 2024
Bioinformatics Approaches for Understanding the Binding Affinity of Protein-Nucleic Acid ComplexesK Harini, Masakazu Sekijima, M Michael GromihaJournal of Biomolecular Structure & Dynamics|January 5, 2020
Molecular dynamics simulations of cognate and non-cognate AspRS-tRNA<sup>Asp</sup> complexesC Ramakrishnan, R Nagarajan, M Sekijima, et al.BMC Bioinformatics|May 19, 2012
Relationship between amino acid properties and functional parameters in olfactory receptors and discrimination of mutants with enhanced specificityM Michael Gromiha, K Harini, R Sowdhamini, et al.Nucleic Acids Research|November 16, 2020
ProThermDB: thermodynamic database for proteins and mutants revisited after 15 yearsRahul Nikam, A Kulandaisamy, K Harini, et al.Current Protocols|November 26, 2021
Illustrative Tutorials for ProThermDB: Thermodynamic Database for Proteins and MutantsA Kulandaisamy, Rahul Nikam, K Harini, et al.Pageof 32