M Michael Gromiha

发表

Machine learning algorithms for predicting protein folding rates and stability of mutant proteins: comparison with statistical methods.

M Michael Gromiha, Liang-Tsung Huang, 2011, Current protein & peptide science.

AggreRATE-Pred: a mathematical model for the prediction of change in aggregation rate upon point mutation

M Michael Gromiha, Puneet Rawat, R Prabakaran, 2019, Bioinform..

Feature selection and classification of protein–protein complexes based on their binding affinities using machine learning approaches

M Michael Gromiha, K Yugandhar, M. Gromiha, 2014, Proteins.

ProTherm, version 4.0: thermodynamic database for proteins and mutants

Akinori Sarai, Hatsuho Uedaira, Koji Kitajima, 2004, Nucleic Acids Res..

ProAffiMuSeq: sequence-based method to predict the binding free energy change of protein-protein complexes upon mutation using functional classification

Masakazu Sekijima, Sherlyn Jemimah, M Michael Gromiha, 2019, Bioinform..

VEPAD - Predicting the effect of variants associated with Alzheimer's disease using machine learning

M Michael Gromiha, Uday Rangaswamy, S Akila Parvathy Dharshini, 2020, Comput. Biol. Medicine.

Thermodynamic database for proteins: features and applications.

Akinori Sarai, M Michael Gromiha, M. Gromiha, 2010, Methods in molecular biology.

Insights into changes in binding affinity caused by disease mutations in protein-protein complexes

Sherlyn Jemimah, M Michael Gromiha, M. Gromiha, 2020, Comput. Biol. Medicine.

Seq2Feature: a comprehensive web-based feature extraction tool

M Michael Gromiha, Rahul Nikam, 2019, Bioinform..

Forging new scaffolds from old: Combining Scaffold hopping and Hierarchical virtual screening for identifying novel Bcl-2 inhibitors.

M Michael Gromiha, Vishnupriya Kanakaveti, R Sakthivel, 2019, Current topics in medicinal chemistry.

MPTherm: database for membrane protein thermodynamics for understanding folding and stability

M Michael Gromiha, A Kulandaisamy, R Sakthivel, 2020, Briefings Bioinform..

Structural analysis of cation-pi interactions in DNA binding proteins.

M Michael Gromiha, M. Gromiha, Shandar Ahmad, 2004, International journal of biological macromolecules.

Quercetin derivatives as non-nucleoside inhibitors for dengue polymerase: molecular docking, molecular dynamics simulation, and binding free energy calculation

M Michael Gromiha, M. Gromiha, Shanmugam Anusuya, 2017, Journal of biomolecular structure & dynamics.

Average assignment method for predicting the stability of protein mutants

M. N. Ponnuswamy, M Michael Gromiha, M. Gromiha, 2006, Biopolymers.

Thermodynamic and kinetic determinants of Thermotoga maritima cold shock protein stability: A structural and dynamic analysis

Chie Motono, M Michael Gromiha, Sandeep Kumar, 2008, Proteins.

Look‐up tables for protein solvent accessibility prediction and nearest neighbor effect analysis

Jung-Ying Wang, M Michael Gromiha, Akinori Sarai, 2004, Biopolymers.

Classification of protein-DNA complexes based on structural descriptors.

Ponraj Prabakaran, M Michael Gromiha, Akinori Sarai, 2006, Structure.

Importance of functional groups in predicting the activity of small molecule inhibitors for Bcl‐2 and Bcl‐xL

M Michael Gromiha, Vishnupriya Kanakaveti, M. Gromiha, 2017, Chemical biology & drug design.

Eukaryote-wide sequence analysis of mitochondrial β-barrel outer membrane proteins

Paul Horton, Kenichiro Imai, M Michael Gromiha, 2011, BMC Genomics.

Drug-Target Interactions: Prediction Methods and Applications.

M Michael Gromiha, Devadasan Velmurugan, Gnanendra Shanmugam, 2018, Current protein & peptide science.

Importance of main-chain hydrophobic free energy to the stability of thermophilic proteins.

M Michael Gromiha, M. Gromiha, K. Saraboji, 2005, International journal of biological macromolecules.

Discrimination of outer membrane proteins using machine learning algorithms

Makiko Suwa, M Michael Gromiha, M. Gromiha, 2006, Proteins.

Role of inter and intramolecular interactions in protein-DNA recognition.

Samuel Selvaraj, M Michael Gromiha, Hidetoshi Kono, 2005, Gene.

Variation of amino acid properties in all-beta globular and outer membrane protein structures.

Makiko Suwa, M Michael Gromiha, M. Gromiha, 2003, International journal of biological macromolecules.

Discrimination of mesophilic and thermophilic proteins using machine learning algorithms

M Michael Gromiha, M. Gromiha, M. X. Suresh, 2007, Proteins.

Sequence and structural features of binding site residues in protein-protein complexes: comparison with protein-nucleic acid complexes

B Jayaram, M Michael Gromiha, M. Gromiha, 2011, Proteome Science.

Structure based approach for understanding organism specific recognition of protein-RNA complexes

Masakazu Sekijima, M Michael Gromiha, Sonia Pankaj Chothani, 2015, Biology Direct.

Influence of long-range contacts and surrounding residues on the transition state structures of proteins.

M Michael Gromiha, 2011, Analytical biochemistry.

Protein folding, stability and interactions.

M Michael Gromiha, 2010, Current protein & peptide science.

Prediction of protein mutant stability using classification and regression tool.

Shiow-Fen Hwang, Liang-Tsung Huang, Shinn-Ying Ho, 2007, Biophysical chemistry.

Influence of amino acid properties for discriminating outer membrane proteins at better accuracy.

Makiko Suwa, M Michael Gromiha, M. Gromiha, 2006, Biochimica et biophysica acta.

New insight into long‐range nonadditivity within protein double‐mutant cycles

Dennis R Livesay, M Michael Gromiha, Donald J Jacobs, 2008, Proteins.

Hydrophobic environment is a key factor for the stability of thermophilic proteins

M Michael Gromiha, Eric A Gaucher, M. Gromiha, 2013, Proteins.

Investigating mutation-specific biological activities of small molecules using quantitative structure-activity relationship for epidermal growth factor receptor in cancer.

M Michael Gromiha, R Sakthivel, M. Gromiha, 2017, Mutation research.

Role of non-covalent interactions for determining the folding rate of two-state proteins.

Makiko Suwa, M Michael Gromiha, M. Gromiha, 2004, Biophysical chemistry.

Importance of mutant position in Ramachandran plot for predicting protein stability of surface mutations.

M Michael Gromiha, Hidetoshi Kono, Akinori Sarai, 2002, Biopolymers.

Exploring the environmental preference of weak interactions in (alpha/beta)8 barrel proteins.

M Madan Babu, M Michael Gromiha, M. Babu, 2006, Proteins.

Current developments on beta-barrel membrane proteins: sequence and structure analysis, discrimination and prediction.

Makiko Suwa, M Michael Gromiha, 2007, Current protein & peptide science.

Revisiting “reverse hydrophobic effect”: Applicable only to coil mutations at the surface

M Michael Gromiha, 2009, Biopolymers.

HuVarBase: A human variant database with comprehensive information at gene and protein levels

M Michael Gromiha, Kaliappan Ganesan, A Kulandaisamy, 2019, PloS one.

Identification of dengue viral RNA-dependent RNA polymerase inhibitor using computational fragment-based approaches and molecular dynamics study

M Michael Gromiha, Devadasan Velmurugan, M. Gromiha, 2016, Journal of biomolecular structure & dynamics.

Importance of hydrophobic cluster formation through long‐range contacts in the folding transition state of two‐state proteins

M Michael Gromiha, M. Gromiha, S. Selvaraj, 2004, Proteins.

Motifs in outer membrane protein sequences: applications for discrimination.

M Michael Gromiha, M. Gromiha, 2005, Biophysical chemistry.

Identification of type I and type II inhibitors of c-Yes kinase using in silico and experimental techniques

Masakazu Sekijima, Yutaka Akiyama, M Michael Gromiha, 2018, Journal of biomolecular structure & dynamics.

ROLE OF CATION-π INTERACTIONS TO THE STABILITY OF THERMOPHILIC PROTEINS

M Michael Gromiha, M. Gromiha, S. Thomas, 2002, Preparative biochemistry & biotechnology.

Locating the stabilizing residues in (alpha/beta)8 barrel proteins based on hydrophobicity, long-range interactions, and sequence conservation.

Csaba Magyar, Gerard Pujadas, Samuel Selvaraj, 2004, Proteins.

SVM based prediction of RNA‐binding proteins using binding residues and evolutionary information

Gajendra P S Raghava, M Michael Gromiha, Manish Kumar, 2011, Journal of molecular recognition : JMR.

Important amino acid properties for determining the transition state structures of two‐state protein mutants

M Michael Gromiha, S Selvaraj, 2002, FEBS letters.

Neural network-based prediction of transmembrane beta-strand segments in outer membrane proteins.

Makiko Suwa, M Michael Gromiha, M. Gromiha, 2004, Journal of computational chemistry.

Influence of DNA stiffness in protein-DNA recognition.

M Michael Gromiha, M. Gromiha, 2005, Journal of biotechnology.

Identification and analysis of binding site residues in protein-carbohydrate complexes using energy based approach.

M Michael Gromiha, Kazuhiko Fukui, K Veluraja, 2014, Protein and peptide letters.

Analysis of protein-protein interaction networks based on binding affinity.

M Michael Gromiha, K Yugandhar, 2016, Current protein & peptide science.

Atom-wise statistics and prediction of solvent accessibility in proteins.

M Michael Gromiha, Akinori Sarai, M. Gromiha, 2006, Biophysical chemistry.

Role of hydrophobic clusters and long-range contact networks in the folding of (alpha/beta)8 barrel proteins.

M Michael Gromiha, S Selvaraj, 2003, Biophysical journal.

Inter-residue interactions in protein folding and stability.

M Michael Gromiha, M. Gromiha, S. Selvaraj, 2004, Progress in biophysics and molecular biology.

Structural analysis and prediction of protein mutant stability using distance and torsion potentials: Role of secondary structure and solvent accessibility

Dietmar Schomburg, M Michael Gromiha, Vijaya Parthiban, 2006, Proteins.

Computational modeling of protein mutant stability: analysis and optimization of statistical potentials and structural features reveal insights into prediction model development

Dietmar Schomburg, M Michael Gromiha, Vijaya Parthiban, 2007, BMC Structural Biology.

Understanding the recognition mechanism of protein-RNA complexes using energy based approach.

M Michael Gromiha, Kazuhiko Fukui, Kiyonobu Yokota, 2010, Current protein & peptide science.

Protein-protein interactions: scoring schemes and binding affinity.

Sherlyn Jemimah, M Michael Gromiha, K Yugandhar, 2017, Current opinion in structural biology.