M. Michael Gromiha

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 35

Top Venues

Bioinform.

Briefings Bioinform.

IEEE ACM Trans. Comput. Biol. Bioinform.

Comput. Biol. Medicine

Publications

Sowmya Ramaswamy Krishnan, Arijit Roy, M. Michael Gromiha
Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning. Briefings Bioinform. 25 (2) (2024)
Jianfeng Sun, Arulsamy Kulandaisamy, Jinlong Ru, M. Michael Gromiha, Adam P. Cribbs
TMKit: a Python interface for computational analysis of transmembrane proteins. Briefings Bioinform. 24 (5) (2023)
M. Michael Gromiha, Petras Kundrotas, Marcelo Adrian Marti, Ceslovas Venclovas, Minghui Li
Editorial: Protein recognition and associated diseases. Frontiers Bioinform. 3 (2023)
R. Prabakaran, Puneet Rawat, Sandeep Kumar, M. Michael Gromiha
Erratum to: Evaluation of in silico tools for the prediction of protein and peptide aggregation on diverse datasets. Briefings Bioinform. 23 (1) (2022)
Kannan Harini, Ambuj Srivastava, Arulsamy Kulandaisamy, M. Michael Gromiha
ProNAB: database for binding affinities of protein-nucleic acid complexes and their mutants. Nucleic Acids Res. 50 (D1) (2022)
Puneet Rawat, Divya Sharma, R. Prabakaran, Fathima Ridha, Mugdha Mohkhedkar, Vani Janakiraman, M. Michael Gromiha
Ab-CoV: a curated database for binding affinity and neutralization profiles of coronavirus-related antibodies. Bioinform. 38 (16) (2022)
Puneet Rawat, Divya Sharma, Medha Pandey, R. Prabakaran, M. Michael Gromiha
Understanding the mutational frequency in SARS-CoV-2 proteome using structural features. Comput. Biol. Medicine 147 (2022)
Medha Pandey, P. Anoosha, Dhanusha Yesudhas, M. Michael Gromiha
Identification of potential driver mutations in glioblastoma using machine learning. Briefings Bioinform. 23 (6) (2022)
M. Michael Gromiha, Christine A. Orengo, Ramanathan Sowdhamini, Janet M. Thornton
Srinivasan (1962-2021) in Bioinformatics and beyond. Bioinform. 38 (8) (2022)
A. Kulandaisamy, R. Sakthivel, M. Michael Gromiha
MPTherm: database for membrane protein thermodynamics for understanding folding and stability. Briefings Bioinform. 22 (2) (2021)
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 18 (5) (2021)
R. Prabakaran, Puneet Rawat, Sandeep Kumar, M. Michael Gromiha
Evaluation of in silico tools for the prediction of protein and peptide aggregation on diverse datasets. Briefings Bioinform. 22 (6) (2021)
N. R. Siva Shanmugam, J. Jino Blessy, K. Veluraja, M. Michael Gromiha
Prediction of protein-carbohydrate complex binding affinity using structural features. Briefings Bioinform. 22 (4) (2021)
Rahul Nikam, A. Kulandaisamy, K. Harini, Divya Sharma, M. Michael Gromiha
ProThermDB: thermodynamic database for proteins and mutants revisited after 15 years. Nucleic Acids Res. 49 (Database-Issue) (2021)
Jan Zaucha, Michael Heinzinger, A. Kulandaisamy, Evans Kataka, Óscar Llorian Salvádor, Petr Popov, Burkhard Rost, M. Michael Gromiha, Boris S. Zhorov, Dmitrij Frishman
Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteins. Briefings Bioinform. 22 (3) (2021)
Puneet Rawat, R. Prabakaran, Sandeep Kumar, M. Michael Gromiha
AggreRATE-Pred: a mathematical model for the prediction of change in aggregation rate upon point mutation. Bioinform. 36 (5) (2020)
Sherlyn Jemimah, Masakazu Sekijima, M. Michael Gromiha
ProAffiMuSeq: sequence-based method to predict the binding free energy change of protein-protein complexes upon mutation using functional classification. Bioinform. 36 (6) (2020)
Sherlyn Jemimah, M. Michael Gromiha
Insights into changes in binding affinity caused by disease mutations in protein-protein complexes. Comput. Biol. Medicine 123 (2020)
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
Guest Editorial for Special Section on the 14th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 17 (5) (2020)
Uday Rangaswamy, S. Akila Parvathy Dharshini, Dhanusha Yesudhas, M. Michael Gromiha
VEPAD - Predicting the effect of variants associated with Alzheimer's disease using machine learning. Comput. Biol. Medicine 124 (2020)
Debmalya Barh, Sandeep Tiwari, Marianna E. Weener, Vasco Azevedo, Aristóteles Góes-Neto, M. Michael Gromiha, Preetam Ghosh
Multi-omics-based identification of SARS-CoV-2 infection biology and candidate drugs against COVID-19. Comput. Biol. Medicine 126 (2020)
N. R. Siva Shanmugam, J. Jino Blessy, K. Veluraja, M. Michael Gromiha
ProCaff: protein-carbohydrate complex binding affinity database. Bioinform. 36 (11) (2020)
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
Guest Editorial for Special Section on the 13th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 16 (3) (2019)
Rahul Nikam, M. Michael Gromiha
Seq2Feature: a comprehensive web-based feature extraction tool. Bioinform. 35 (22) (2019)
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
Guest Editorial for Special Section on the 12th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 15 (5) (2018)
Rahul Nikam, K. Yugandhar, M. Michael Gromiha
Discrimination and Prediction of Protein-Protein Binding Affinity Using Deep Learning Approach. ICIC (2) (2018)
A. Kulandaisamy, S. Binny Priya, R. Sakthivel, Svetlana Tarnovskaya, Ilya Bizin, Peter Hönigschmid, Dmitrij Frishman, M. Michael Gromiha
MutHTP: mutations in human transmembrane proteins. Bioinform. 34 (13) (2018)
A. Kulandaisamy, Ambuj Srivastava, Pradeep Kumar, R. Nagarajan, S. Binny Priya, M. Michael Gromiha
Identification and Analysis of Key Residues in Protein-RNA Complexes. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (5) (2018)
R. Prabakaran, Rahul Nikam, Sandeep Kumar, M. Michael Gromiha
Influence of Amino Acid Properties for Characterizing Amyloid Peptides in Human Proteome. ICIC (2) (2017)
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
Guest Editorial for Special Section on the 11th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 14 (5) (2017)
Sherlyn Jemimah, K. Yugandhar, M. Michael Gromiha
PROXiMATE: a database of mutant protein-protein complex thermodynamics and kinetics. Bioinform. 33 (17) (2017)
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
Guest Editorial for Special Section on the 10th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 13 (1) (2016)
R. Nagarajan, M. Michael Gromiha
Computational Analysis of Similar Protein-DNA Complexes from Different Organisms to Understand Organism Specific Recognition. ICIC (2) (2016)
Edson Luiz Folador, Paulo Vinícius Sanches Daltro de Carvalho, Wanderson Marques Silva, Rafaela Salgado Ferreira, Artur Silva, M. Michael Gromiha, Preetam Ghosh, Debmalya Barh, Vasco Azevedo, Richard Röttger
based on protein-protein interaction networks. BMC Syst. Biol. 10 (2016)
Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob B. Jespersen, R. Gonzalo Parra, Bart Cuypers, Dan F. DeBlasio, Alexander Junge, Anupama Jigisha, Farzana Rahman, Griet Laenen, Sander Willems, Lieven Thorrez, Yves Moreau, Nagarajan Raju, Sonia P. Chothani, C. Ramakrishnan, Masakazu Sekijima, M. Michael Gromiha, Paddy J. Slator, Nigel J. Burroughs, Przemyslaw Szalaj, Zhonghui Tang, Paul J. Michalski, Oskar Luo, Xingwang Li, Yijun Ruan, Dariusz Plewczynski, Giulia Fiscon, Emanuel Weitschek, Massimo Ciccozzi, Paola Bertolazzi, Giovanni Felici, Pieter Meysman, Manu Vanaerschot, Maya Berg, Hideo Imamura, Jean-Claude Dujardin, Kris Laukens, Westa Domanova, James R. Krycer, Rima Chaudhuri, Pengyi Yang, Fatemeh Vafaee, Daniel J. Fazakerley, Sean J. Humphrey, David E. James, Zdenka Kuncic
Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015. BMC Bioinform. 17 (S-3) (2016)
M. Xavier Suresh, M. Michael Gromiha, Makiko Suwa
Development of a Machine Learning Method to Predict Membrane Protein-Ligand Binding Residues Using Basic Sequence Information. Adv. Bioinformatics 2015 (2015)
Priyashree Chaudhary, Athi N. Naganathan, M. Michael Gromiha
Folding RaCe: a robust method for predicting changes in protein folding rates upon point mutations. Bioinform. 31 (13) (2015)
K. Yugandhar, M. Michael Gromiha
Response to the comment on 'protein-protein binding affinity prediction from amino acid sequence'. Bioinform. 31 (6) (2015)
M. Michael Gromiha, Yu-Yen Ou
Bioinformatics approaches for functional annotation of membrane proteins. Briefings Bioinform. 15 (2) (2014)
K. Yugandhar, M. Michael Gromiha
Protein-protein binding affinity prediction from amino acid sequence. Bioinform. 30 (24) (2014)
Chao-Chin Wu, Lien Fu Lai, M. Michael Gromiha, Liang-Tsung Huang
High throughput computing to improve efficiency of predicting protein stability change upon mutation. Int. J. Data Min. Bioinform. 10 (2) (2014)
C. Ramakrishnan, A. Mary Thangakani, Devadasan Velmurugan, M. Michael Gromiha
Identification of Novel c-Yes Kinase Inhibitors. ICIC (3) (2014)
A. Mary Thangakani, Sandeep Kumar, R. Nagarajan, Devadasan Velmurugan, M. Michael Gromiha
GAP: towards almost 100 percent prediction for β-strand-mediated aggregating peptides with distinct morphologies. Bioinform. 30 (14) (2014)
A. Mary Thangakani, Sandeep Kumar, Devadasan Velmurugan, M. Michael Gromiha
Distinct position-specific sequence features of hexa-peptides that form amyloid-fibrils: application to discriminate between amyloid fibril and amorphous β-aggregate forming peptide sequences. BMC Bioinform. 14 (S-8) (2013)
M. Michael Gromiha, S. Biswal, A. Mary Thangakani, Sandeep Kumar, G. J. Masilamoni, Devadasan Velmurugan
Role of Protein Aggregation and Interactions between α-Synuclein and Calbindin in Parkinson's Disease. ICIC (2) (2013)
Harinder Singh, Jagat Singh Chauhan, M. Michael Gromiha, Gajendra P. S. Raghava
ccPDB: compilation and creation of data sets from Protein Data Bank. Nucleic Acids Res. 40 (Database-Issue) (2012)
M. Michael Gromiha, A. Mary Thangakani, Sandeep Kumar, Devadasan Velmurugan
Sequence Analysis and Discrimination of Amyloid and Non-amyloid Peptides. ICIC (3) (2012)
Liang-Tsung Huang, M. Michael Gromiha
Real value prediction of protein folding rate change upon point mutation. J. Comput. Aided Mol. Des. 26 (3) (2012)
M. Michael Gromiha, De-Shuang Huang
Introduction: advanced intelligent computing theories and their applications in bioinformatics. BMC Bioinform. 13 (S-7) (2012)
M. Michael Gromiha, K. Harini, R. Sowdhamini, Kazuhiko Fukui
Relationship between amino acid properties and functional parameters in olfactory receptors and discrimination of mutants with enhanced specificity. BMC Bioinform. 13 (S-7) (2012)
Shu-An Chen, Yu-Yen Ou, Tzong-Yi Lee, M. Michael Gromiha
Prediction of transporter targets using efficient RBF networks with PSSM profiles and biochemical properties. Bioinform. 27 (15) (2011)
M. Michael Gromiha, Kazuhiko Fukui
Scoring Function Based Approach for Locating Binding Sites and Understanding Recognition Mechanism of Protein-DNA Complexes. J. Chem. Inf. Model. 51 (3) (2011)
M. Michael Gromiha, R. Sowdhamini, Kazuhiko Fukui
Structure-Function Relationship in Olfactory Receptors. ICIC (3) (2011)
Liang-Tsung Huang, Lien Fu Lai, M. Michael Gromiha
Human-Readable Rule Generator for Integrating Amino Acid Sequence Information and Stability of Mutant Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 7 (4) (2010)
Shu-An Chen, Yu-Yen Ou, M. Michael Gromiha
-Barrel Transmembrane Proteins Using RBF Networks. ICIC (1) (2010)
M. Michael Gromiha, N. Saranya, Samuel Selvaraj, B. Jayaram, Kazuhiko Fukui
Sequence and structural features of binding site residues in protein-protein complexes. BIBM (2010)
Yu-Yen Ou, Shu-An Chen, M. Michael Gromiha
Prediction of membrane spanning segments and topology in beta-barrel membrane proteins at better accuracy. J. Comput. Chem. 31 (1) (2010)
M. Michael Gromiha, Samuel Selvaraj, B. Jayaram, Kazuhiko Fukui
Identification and Analysis of Binding Site Residues in Protein Complexes: Energy Based Approach. ICIC (1) (2010)
Liang-Tsung Huang, M. Michael Gromiha
First insight into the prediction of protein folding rate change upon point mutation. Bioinform. 26 (17) (2010)
Liang-Tsung Huang, Lien Fu Lai, Chao-Chin Wu, M. Michael Gromiha
Development of knowledge-based system for predicting the stability of proteins upon point mutations. Neurocomputing 73 (13-15) (2010)
M. Michael Gromiha
Multiple Contact Network Is a Key Determinant to Protein Folding Rates. J. Chem. Inf. Model. 49 (4) (2009)
Liang-Tsung Huang, M. Michael Gromiha
Reliable prediction of protein thermostability change upon double mutation from amino acid sequence. Bioinform. 25 (17) (2009)
M. Michael Gromiha, Yukimitsu Yabuki, M. Xavier Suresh, A. Mary Thangakani, Makiko Suwa, Kazuhiko Fukui
TMFunction: database for functional residues in membrane proteins. Nucleic Acids Res. 37 (Database-Issue) (2009)
Yu-Yen Ou, M. Michael Gromiha, Shu-An Chen, Makiko Suwa
TMBETADISC-RBF: Discrimination of beta-barrel membrane proteins using RBF networks and PSSM profiles. Comput. Biol. Chem. 32 (3) (2008)
M. Michael Gromiha, Liang-Tsung Huang, Lien Fu Lai
Sequence Based Prediction of Protein Mutant Stability and Discrimination of Thermophilic Proteins. PRIB (2008)
M. Michael Gromiha, Shandar Ahmad, Makiko Suwa
Neural network based prediction of protein structure and Function: Comparison with other machine learning methods. IJCNN (2008)
Y-h. Taguchi, M. Michael Gromiha
Gene Ontology term prediction based upon amino acid occurrence. IJCNN (2008)
Liang-Tsung Huang, M. Michael Gromiha
Analysis and prediction of protein folding rates using quadratic response surface models. J. Comput. Chem. 29 (10) (2008)
M. Michael Gromiha, Yukimitsu Yabuki
Functional discrimination of membrane proteins using machine learning techniques. BMC Bioinform. 9 (2008)
M. Michael Gromiha
Bioinformatics on beta-Barrel Membrane Proteins: Sequence and Structural Analysis, Discrimination and Prediction. PRIB (2007)
Manish Kumar, M. Michael Gromiha, Gajendra P. S. Raghava
Identification of DNA-binding proteins using support vector machines and evolutionary profiles. BMC Bioinform. 8 (2007)
Yoshihiro Taguchi, M. Michael Gromiha
Protein Fold Recognition Based Upon the Amino Acid Occurrence. PRIB (2007)
M. Michael Gromiha, Yukimitsu Yabuki, Srinesh Kundu, Sivasundaram Suharnan, Makiko Suwa
TMBETA-GENOME: database for annotated ß-barrel membrane proteins in genomic sequences. Nucleic Acids Res. 35 (Database-Issue) (2007)
M. Michael Gromiha, Yukimitsu Yabuki, Makiko Suwa
TMB Finding Pipeline: Novel Approach for Detecting β-Barrel Membrane Proteins in Genomic Sequences. J. Chem. Inf. Model. 47 (6) (2007)
Liang-Tsung Huang, M. Michael Gromiha, Shinn-Ying Ho
iPTREE-STAB: interpretable decision tree based method for predicting protein stability changes upon mutations. Bioinform. 23 (10) (2007)
Y-h. Taguchi, M. Michael Gromiha
Application of amino acid occurrence for discriminating different folding types of globular proteins. BMC Bioinform. 8 (2007)
Vijaya Parthiban, M. Michael Gromiha, Dietmar Schomburg
CUPSAT: prediction of protein stability upon point mutations. Nucleic Acids Res. 34 (Web-Server-Issue) (2006)
M. D. Shaji Kumar, K. Abdulla Bava, M. Michael Gromiha, Ponraj Prabakaran, Koji Kitajima, Hatsuho Uedaira, Akinori Sarai
ProTherm and ProNIT: thermodynamic databases for proteins and protein-nucleic acid interactions. Nucleic Acids Res. 34 (Database-Issue) (2006)
M. Michael Gromiha, A. Mary Thangakani, Samuel Selvaraj
FOLD-RATE: prediction of protein folding rates from amino acid sequence. Nucleic Acids Res. 34 (Web-Server-Issue) (2006)
M. Michael Gromiha, Samuel Selvaraj, A. Mary Thangakani
A Statistical Method for Predicting Protein Unfolding Rates from Amino Acid Sequence. J. Chem. Inf. Model. 46 (3) (2006)
M. D. Shaji Kumar, M. Michael Gromiha
PINT: Protein-protein Interactions Thermodynamic Database. Nucleic Acids Res. 34 (Database-Issue) (2006)
Liang-Tsung Huang, M. Michael Gromiha, Shiow-Fen Hwang, Shinn-Ying Ho
Knowledge acquisition and development of accurate rules for predicting protein stability changes. Comput. Biol. Chem. 30 (6) (2006)
Csaba Magyar, M. Michael Gromiha, Gerard Pujadas, Gábor E. Tusnády, István Simon
SRide: a server for identifying stabilizing residues in proteins. Nucleic Acids Res. 33 (Web-Server-Issue) (2005)
M. Michael Gromiha, Shandar Ahmad, Makiko Suwa
Application of residue distribution along the sequence for discriminating outer membrane proteins. Comput. Biol. Chem. 29 (2) (2005)
M. Michael Gromiha, Makiko Suwa
A simple statistical method for discriminating outer membrane proteins with better accuracy. Bioinform. 21 (7) (2005)
M. Michael Gromiha, Shandar Ahmad, Makiko Suwa
TMBETA-NET: discrimination and prediction of membrane spanning ß-strands in outer membrane proteins. Nucleic Acids Res. 33 (Web-Server-Issue) (2005)
Keun-Joon Park, M. Michael Gromiha, Paul Horton, Makiko Suwa
Discrimination of outer membrane proteins using support vector machines. Bioinform. 21 (23) (2005)
K. Saraboji, M. Michael Gromiha, Mon Nanjappa Ponnuswamy
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 lysozymes. Comput. Biol. Chem. 29 (1) (2005)
Akinori Sarai, Jorg Siebers, Samuel Selvaraj, M. Michael Gromiha, Hidetoshi Kono
Integration of Bioinformatics and Computational Biology to Understand Protein-dna Recognition Mechanism. J. Bioinform. Comput. Biol. 3 (1) (2005)
M. Michael Gromiha
A Statistical Model for Predicting Protein Folding Rates from Amino Acid Sequence with Structural Class Information. J. Chem. Inf. Model. 45 (2) (2005)
K. Abdulla Bava, M. Michael Gromiha, Hatsuho Uedaira, Koji Kitajima, Akinori Sarai
ProTherm, version 4.0: thermodynamic database for proteins and mutants. Nucleic Acids Res. 32 (Database-Issue) (2004)
Shandar Ahmad, M. Michael Gromiha, Hamed Fawareh, Akinori Sarai
: Database and tool for solvent accessibility representation in proteins. BMC Bioinform. 5 (2004)
Akinori Sarai, Samuel Selvaraj, M. Michael Gromiha, Hidetoshi Kono
Structure-Function Relationship in DNA Sequence Recognition by Transcription Factors. APBC (2004)
M. Michael Gromiha, Shandar Ahmad, Makiko Suwa
Neural network-based prediction of transmembrane -strand segments in outer membrane proteins. J. Comput. Chem. 25 (5) (2004)
Shandar Ahmad, M. Michael Gromiha, Akinori Sarai
Analysis and prediction of DNA-binding proteins and their binding residues based on composition, sequence and structural information. Bioinform. 20 (4) (2004)
Shandar Ahmad, M. Michael Gromiha
Design and training of a neural network for predicting the solvent accessibility of proteins. J. Comput. Chem. 24 (11) (2003)
M. Michael Gromiha
Importance of Native-State Topology for Determining the Folding Rate of Two-State Proteins. J. Chem. Inf. Comput. Sci. 43 (5) (2003)
Shandar Ahmad, M. Michael Gromiha, Akinori Sarai
RVP-net: online prediction of real valued accessible surface area of proteins from single sequences. Bioinform. 19 (14) (2003)
Shandar Ahmad, M. Michael Gromiha
NETASA: neural network based prediction of solvent accessibility. Bioinform. 18 (6) (2002)
M. Michael Gromiha, Hatsuho Uedaira, Jianghong An, Samuel Selvaraj, Ponraj Prabakaran, Akinori Sarai
ProTherm, Thermodynamic Database for Proteins and Mutants: developments in version 3.0. Nucleic Acids Res. 30 (1) (2002)

M. Michael Gromiha.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

M. Michael Gromiha