Progress on the development of prediction tools for detecting disease causing mutations in proteins - M. Michael Gromiha; Medha Pandey; A. Kulandaisamy; Divya Sharma; Fathima Ridha (Comput. Biol. Medicine, 2025)

PRA-MutPred: Predicting the Effect of Point Mutations in Protein-RNA Complexes Using Structural Features - K. Harini; Masakazu Sekijima; M. Michael Gromiha (J. Chem. Inf. Model., 2025)

Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning - Sowmya Ramaswamy Krishnan; Arijit Roy; M. Michael Gromiha (Briefings Bioinform., 2024)

MPA-MutPred: a novel strategy for accurately predicting the binding affinity change upon mutation in membrane protein complexes - Fathima Ridha; M. Michael Gromiha (Briefings Bioinform., 2024)

TMKit: a Python interface for computational analysis of transmembrane proteins - Jianfeng Sun; Arulsamy Kulandaisamy; Jinlong Ru; M. Michael Gromiha; Adam P. Cribbs (Briefings Bioinform., 2023)

Editorial: Protein recognition and associated diseases - M. Michael Gromiha; Petras Kundrotas; Marcelo Adrian Marti; Ceslovas Venclovas; Minghui Li (Frontiers Bioinform., 2023)

Erratum to: Evaluation of in silico tools for the prediction of protein and peptide aggregation on diverse datasets - R. Prabakaran; Puneet Rawat; Sandeep Kumar; M. Michael Gromiha (Briefings Bioinform., 2022)

Identification of potential driver mutations in glioblastoma using machine learning - Medha Pandey; P. Anoosha; Dhanusha Yesudhas; M. Michael Gromiha (Briefings Bioinform., 2022)

Srinivasan (1962-2021) in Bioinformatics and beyond - M. Michael Gromiha; Christine A. Orengo; Ramanathan Sowdhamini; Janet M. Thornton (Bioinform., 2022)

Ab-CoV: a curated database for binding affinity and neutralization profiles of coronavirus-related antibodies - Puneet Rawat; Divya Sharma; R. Prabakaran; Fathima Ridha; Mugdha Mohkhedkar; Vani Janakiraman; M. Michael Gromiha (Bioinform., 2022)

Understanding the mutational frequency in SARS-CoV-2 proteome using structural features - Puneet Rawat; Divya Sharma; Medha Pandey; R. Prabakaran; M. Michael Gromiha (Comput. Biol. Medicine, 2022)

ProNAB: database for binding affinities of protein-nucleic acid complexes and their mutants - Kannan Harini; Ambuj Srivastava; Arulsamy Kulandaisamy; M. Michael Gromiha (Nucleic Acids Res., 2022)

MPTherm: database for membrane protein thermodynamics for understanding folding and stability - A. Kulandaisamy; R. Sakthivel; M. Michael Gromiha (Briefings Bioinform., 2021)

Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteins - Jan Zaucha; Michael Heinzinger; A. Kulandaisamy; Evans Kataka; Óscar Llorian Salvádor; Petr Popov; Burkhard Rost; M. Michael Gromiha; Boris S. Zhorov; Dmitrij Frishman (Briefings Bioinform., 2021)

Prediction of protein-carbohydrate complex binding affinity using structural features - N. R. Siva Shanmugam; J. Jino Blessy; K. Veluraja; M. Michael Gromiha (Briefings Bioinform., 2021)

Evaluation of in silico tools for the prediction of protein and peptide aggregation on diverse datasets - R. Prabakaran; Puneet Rawat; Sandeep Kumar; M. Michael Gromiha (Briefings Bioinform., 2021)

ProThermDB: thermodynamic database for proteins and mutants revisited after 15 years - Rahul Nikam; A. Kulandaisamy; K. Harini; Divya Sharma; M. Michael Gromiha (Nucleic Acids Res., 2021)

Guest Editorial for Special Section on the 15\(^th\) International Conference on Intelligent Computing (ICIC) - De-Shuang Huang; Vitoantonio Bevilacqua; M. Michael Gromiha (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

AggreRATE-Pred: a mathematical model for the prediction of change in aggregation rate upon point mutation - Puneet Rawat; R. Prabakaran; Sandeep Kumar; M. Michael Gromiha (Bioinform., 2020)

ProAffiMuSeq: sequence-based method to predict the binding free energy change of protein-protein complexes upon mutation using functional classification - Sherlyn Jemimah; Masakazu Sekijima; M. Michael Gromiha (Bioinform., 2020)

ProCaff: protein-carbohydrate complex binding affinity database - N. R. Siva Shanmugam; J. Jino Blessy; K. Veluraja; M. Michael Gromiha (Bioinform., 2020)

Insights into changes in binding affinity caused by disease mutations in protein-protein complexes - Sherlyn Jemimah; M. Michael Gromiha (Comput. Biol. Medicine, 2020)

VEPAD - Predicting the effect of variants associated with Alzheimer's disease using machine learning - Uday Rangaswamy; S. Akila Parvathy Dharshini; Dhanusha Yesudhas; M. Michael Gromiha (Comput. Biol. Medicine, 2020)

Multi-omics-based identification of SARS-CoV-2 infection biology and candidate drugs against COVID-19 - Debmalya Barh; Sandeep Tiwari; Marianna E. Weener; Vasco Ariston de Carvalho Azevedo; Aristóteles Góes-Neto; M. Michael Gromiha; Preetam Ghosh (Comput. Biol. Medicine, 2020)

Guest Editorial for Special Section on the 14th International Conference on Intelligent Computing (ICIC) - De-Shuang Huang; Vitoantonio Bevilacqua; M. Michael Gromiha (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Seq2Feature: a comprehensive web-based feature extraction tool - Rahul Nikam; M. Michael Gromiha (Bioinform., 2019)

Guest Editorial for Special Section on the 13th International Conference on Intelligent Computing (ICIC) - De-Shuang Huang; Vitoantonio Bevilacqua; M. Michael Gromiha (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Protein Structural Bioinformatics: An Overview - M. Michael Gromiha; Raju Nagarajan; Samuel Selvaraj (Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019)

MutHTP: mutations in human transmembrane proteins - A. Kulandaisamy; S. Binny Priya; R. Sakthivel; Svetlana Tarnovskaya; Ilya Bizin; Peter Hönigschmid; Dmitrij Frishman; M. Michael Gromiha (Bioinform., 2018)

Guest Editorial for Special Section on the 12th International Conference on Intelligent Computing (ICIC) - De-Shuang Huang; Vitoantonio Bevilacqua; M. Michael Gromiha (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Identification and Analysis of Key Residues in Protein-RNA Complexes - A. Kulandaisamy; Ambuj Srivastava; Pradeep Kumar; Raju Nagarajan; S. Binny Priya; M. Michael Gromiha (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Discrimination and Prediction of Protein-Protein Binding Affinity Using Deep Learning Approach - Rahul Nikam; K. Yugandhar; M. Michael Gromiha (Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part II, 2018)

Intelligent Computing Methodologies - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part III - De-Shuang Huang; M. Michael Gromiha; Kyungsook Han; Abir Hussain (Springer, 2018)

PROXiMATE: a database of mutant protein-protein complex thermodynamics and kinetics - Sherlyn Jemimah; K. Yugandhar; M. Michael Gromiha (Bioinform., 2017)

Guest Editorial for Special Section on the 11th International Conference on Intelligent Computing (ICIC) - De-Shuang Huang; Vitoantonio Bevilacqua; M. Michael Gromiha (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Influence of Amino Acid Properties for Characterizing Amyloid Peptides in Human Proteome - R. Prabakaran; Rahul Nikam; Sandeep Kumar; M. Michael Gromiha (Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part II, 2017)

Intelligent Computing Methodologies - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part III - De-Shuang Huang; Abir Hussain; Kyungsook Han; M. Michael Gromiha (Springer, 2017)

Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015 - 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; et al. (BMC Bioinform., 2016)

In silico identification of essential proteins in Corynebacterium pseudotuberculosis based on protein-protein interaction networks - 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 Ariston de Carvalho Azevedo; Richard Röttger (BMC Syst. Biol., 2016)

Guest Editorial for Special Section on the 10th International Conference on Intelligent Computing (ICIC) - De-Shuang Huang; Vitoantonio Bevilacqua; M. Michael Gromiha (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Computational Analysis of Similar Protein-DNA Complexes from Different Organisms to Understand Organism Specific Recognition - Raju Nagarajan; M. Michael Gromiha (Intelligent Computing Theories and Application - 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part II, 2016)

Development of a Machine Learning Method to Predict Membrane Protein-Ligand Binding Residues Using Basic Sequence Information - M. Xavier Suresh; M. Michael Gromiha; Makiko Suwa (Adv. Bioinformatics, 2015)

Response to the comment on 'protein-protein binding affinity prediction from amino acid sequence' - K. Yugandhar; M. Michael Gromiha (Bioinform., 2015)

Folding RaCe: a robust method for predicting changes in protein folding rates upon point mutations - Priyashree Chaudhary; Athi N. Naganathan; M. Michael Gromiha (Bioinform., 2015)

Bioinformatics approaches for functional annotation of membrane proteins - M. Michael Gromiha; Yu-Yen Ou (Briefings Bioinform., 2014)

GAP: towards almost 100 percent prediction for \(β\)-strand-mediated aggregating peptides with distinct morphologies - A. Mary Thangakani; Sandeep Kumar; Raju Nagarajan; Devadasan Velmurugan; M. Michael Gromiha (Bioinform., 2014)

Protein-protein binding affinity prediction from amino acid sequence - K. Yugandhar; M. Michael Gromiha (Bioinform., 2014)

High throughput computing to improve efficiency of predicting protein stability change upon mutation - Chao-Chin Wu; Lien Fu Lai; M. Michael Gromiha; Liang-Tsung Huang (Int. J. Data Min. Bioinform., 2014)

Identification of Novel c-Yes Kinase Inhibitors - C. Ramakrishnan; A. Mary Thangakani; Devadasan Velmurugan; M. Michael Gromiha (Intelligent Computing in Bioinformatics - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings, 2014)

Intelligent Computing in Bioinformatics - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings - De-Shuang Huang; Kyungsook Han; M. Michael Gromiha (Springer, 2014)

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 - A. Mary Thangakani; Sandeep Kumar; Devadasan Velmurugan; M. Michael Gromiha (BMC Bioinform., 2013)

Role of Protein Aggregation and Interactions between \(α\)-Synuclein and Calbindin in Parkinson's Disease - M. Michael Gromiha; S. Biswal; A. Mary Thangakani; Sandeep Kumar; G. J. Masilamoni; Devadasan Velmurugan (Intelligent Computing Theories and Technology - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings, 2013)

Emerging Intelligent Computing Technology and Applications - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings - De-Shuang Huang; Phalguni Gupta; Ling Wang; M. Michael Gromiha (Springer, 2013)

Introduction: advanced intelligent computing theories and their applications in bioinformatics - M. Michael Gromiha; De-Shuang Huang (BMC Bioinform., 2012)

Relationship between amino acid properties and functional parameters in olfactory receptors and discrimination of mutants with enhanced specificity - M. Michael Gromiha; K. Harini; R. Sowdhamini; Kazuhiko Fukui (BMC Bioinform., 2012)

Real value prediction of protein folding rate change upon point mutation - Liang-Tsung Huang; M. Michael Gromiha (J. Comput. Aided Mol. Des., 2012)

ccPDB: compilation and creation of data sets from Protein Data Bank - Harinder Singh; Jagat Singh Chauhan; M. Michael Gromiha; Gajendra P. S. Raghava (Nucleic Acids Res., 2012)

Sequence Analysis and Discrimination of Amyloid and Non-amyloid Peptides - M. Michael Gromiha; A. Mary Thangakani; Sandeep Kumar; Devadasan Velmurugan (Emerging Intelligent Computing Technology and Applications - 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings, 2012)

Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence - 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011, Revised Selected Papers - De-Shuang Huang; Yong Gan; Phalguni Gupta; M. Michael Gromiha (Springer, 2012)

Intelligent Computing Theories and Applications - 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings - De-Shuang Huang; Jianhua Ma; Kang-Hyun Jo; M. Michael Gromiha (Springer, 2012)

Prediction of transporter targets using efficient RBF networks with PSSM profiles and biochemical properties - Shu-An Chen; Yu-Yen Ou; Tzong-Yi Lee; M. Michael Gromiha (Bioinform., 2011)

Scoring Function Based Approach for Locating Binding Sites and Understanding Recognition Mechanism of Protein-DNA Complexes - M. Michael Gromiha; Kazuhiko Fukui (J. Chem. Inf. Model., 2011)

Structure-Function Relationship in Olfactory Receptors - M. Michael Gromiha; R. Sowdhamini; Kazuhiko Fukui (Bio-Inspired Computing and Applications - 7th International Conference on Intelligent Computing, ICIC 2011, Zhengzhou,China, August 11-14. 2011, Revised Selected Papers, 2011)

First insight into the prediction of protein folding rate change upon point mutation - Liang-Tsung Huang; M. Michael Gromiha (Bioinform., 2010)

Development of knowledge-based system for predicting the stability of proteins upon point mutations - Liang-Tsung Huang; Lien Fu Lai; Chao-Chin Wu; M. Michael Gromiha (Neurocomputing, 2010)

Prediction of Protein Folding Rates from Structural Topology and Complex Network Properties - Jiangning Song; Kazuhiro Takemoto; Hongbin Shen; Hao Tan; M. Michael Gromiha; Tatsuya Akutsu (Inf. Media Technol., 2010)

Prediction of membrane spanning segments and topology in beta-barrel membrane proteins at better accuracy - Yu-Yen Ou; Shu-An Chen; M. Michael Gromiha (J. Comput. Chem., 2010)

Human-Readable Rule Generator for Integrating Amino Acid Sequence Information and Stability of Mutant Proteins - Liang-Tsung Huang; Lien Fu Lai; M. Michael Gromiha (IEEE ACM Trans. Comput. Biol. Bioinform., 2010)

Sequence and structural features of binding site residues in protein-protein complexes - M. Michael Gromiha; N. Saranya; Samuel Selvaraj; B. Jayaram; Kazuhiko Fukui (2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010, Hong Kong, China, December 18-21, 2010, Proceedings, 2010)

Identification and Analysis of Binding Site Residues in Protein Complexes: Energy Based Approach - M. Michael Gromiha; Samuel Selvaraj; B. Jayaram; Kazuhiko Fukui (Advanced Intelligent Computing Theories and Applications, 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings, 2010)

Topology Prediction of alpha-Helical and beta-Barrel Transmembrane Proteins Using RBF Networks - Shu-An Chen; Yu-Yen Ou; M. Michael Gromiha (Advanced Intelligent Computing Theories and Applications, 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings, 2010)

Reliable prediction of protein thermostability change upon double mutation from amino acid sequence - Liang-Tsung Huang; M. Michael Gromiha (Bioinform., 2009)

Multiple Contact Network Is a Key Determinant to Protein Folding Rates - M. Michael Gromiha (J. Chem. Inf. Model., 2009)

TMFunction: database for functional residues in membrane proteins - M. Michael Gromiha; Yukimitsu Yabuki; M. Xavier Suresh; A. Mary Thangakani; Makiko Suwa; Kazuhiko Fukui (Nucleic Acids Res., 2009)

Functional discrimination of membrane proteins using machine learning techniques - M. Michael Gromiha; Yukimitsu Yabuki (BMC Bioinform., 2008)

TMBETADISC-RBF: Discrimination of beta-barrel membrane proteins using RBF networks and PSSM profiles - Yu-Yen Ou; M. Michael Gromiha; Shu-An Chen; Makiko Suwa (Comput. Biol. Chem., 2008)

Analysis and prediction of protein folding rates using quadratic response surface models - Liang-Tsung Huang; M. Michael Gromiha (J. Comput. Chem., 2008)

Gene Ontology term prediction based upon amino acid occurrence - Y-h. Taguchi; M. Michael Gromiha (Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, 2008)

Neural network based prediction of protein structure and Function: Comparison with other machine learning methods - M. Michael Gromiha; Shandar Ahmad; Makiko Suwa (Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, 2008)

Sequence Based Prediction of Protein Mutant Stability and Discrimination of Thermophilic Proteins - M. Michael Gromiha; Liang-Tsung Huang; Lien Fu Lai (Pattern Recognition in Bioinformatics, Third IAPR International Conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008. Proceedings, 2008)

iPTREE-STAB: interpretable decision tree based method for predicting protein stability changes upon mutations - Liang-Tsung Huang; M. Michael Gromiha; Shinn-Ying Ho (Bioinform., 2007)

Identification of DNA-binding proteins using support vector machines and evolutionary profiles - Manish Kumar; M. Michael Gromiha; Gajendra P. S. Raghava (BMC Bioinform., 2007)

Application of amino acid occurrence for discriminating different folding types of globular proteins - Y-h. Taguchi; M. Michael Gromiha (BMC Bioinform., 2007)

TMB Finding Pipeline: Novel Approach for Detecting \(β\)-Barrel Membrane Proteins in Genomic Sequences - M. Michael Gromiha; Yukimitsu Yabuki; Makiko Suwa (J. Chem. Inf. Model., 2007)

TMBETA-GENOME: database for annotated ß-barrel membrane proteins in genomic sequences - M. Michael Gromiha; Yukimitsu Yabuki; Srinesh Kundu; Sivasundaram Suharnan; Makiko Suwa (Nucleic Acids Res., 2007)

Protein Fold Recognition Based Upon the Amino Acid Occurrence - Yoshihiro Taguchi; M. Michael Gromiha (Pattern Recognition in Bioinformatics, Second IAPR International Workshop, PRIB 2007, Singapore, October 1-2, 2007, Proceedings, 2007)

Bioinformatics on beta-Barrel Membrane Proteins: Sequence and Structural Analysis, Discrimination and Prediction - M. Michael Gromiha (Pattern Recognition in Bioinformatics, Second IAPR International Workshop, PRIB 2007, Singapore, October 1-2, 2007, Proceedings, 2007)

Knowledge acquisition and development of accurate rules for predicting protein stability changes - Liang-Tsung Huang; M. Michael Gromiha; Shiow-Fen Hwang; Shinn-Ying Ho (Comput. Biol. Chem., 2006)

A Statistical Method for Predicting Protein Unfolding Rates from Amino Acid Sequence - M. Michael Gromiha; Samuel Selvaraj; A. Mary Thangakani (J. Chem. Inf. Model., 2006)

PINT: Protein-protein Interactions Thermodynamic Database - M. D. Shaji Kumar; M. Michael Gromiha (Nucleic Acids Res., 2006)

ProTherm and ProNIT: thermodynamic databases for proteins and protein-nucleic acid interactions - M. D. Shaji Kumar; K. Abdulla Bava; M. Michael Gromiha; Ponraj Prabakaran; Koji Kitajima; Hatsuho Uedaira; Akinori Sarai (Nucleic Acids Res., 2006)

FOLD-RATE: prediction of protein folding rates from amino acid sequence - M. Michael Gromiha; A. Mary Thangakani; Samuel Selvaraj (Nucleic Acids Res., 2006)

CUPSAT: prediction of protein stability upon point mutations - Vijaya Parthiban; M. Michael Gromiha; Dietmar Schomburg (Nucleic Acids Res., 2006)

A simple statistical method for discriminating outer membrane proteins with better accuracy - M. Michael Gromiha; Makiko Suwa (Bioinform., 2005)

Discrimination of outer membrane proteins using support vector machines - Keun-Joon Park; M. Michael Gromiha; Paul Horton; Makiko Suwa (Bioinform., 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 lysozymes - K. Saraboji; M. Michael Gromiha; Mon Nanjappa Ponnuswamy (Comput. Biol. Chem., 2005)

Application of residue distribution along the sequence for discriminating outer membrane proteins - M. Michael Gromiha; Shandar Ahmad; Makiko Suwa (Comput. Biol. Chem., 2005)

Integration of Bioinformatics and Computational Biology to Understand Protein-dna Recognition Mechanism - Akinori Sarai; Jorg Siebers; Samuel Selvaraj; M. Michael Gromiha; Hidetoshi Kono (J. Bioinform. Comput. Biol., 2005)

A Statistical Model for Predicting Protein Folding Rates from Amino Acid Sequence with Structural Class Information - M. Michael Gromiha (J. Chem. Inf. Model., 2005)

TMBETA-NET: discrimination and prediction of membrane spanning ß-strands in outer membrane proteins - M. Michael Gromiha; Shandar Ahmad; Makiko Suwa (Nucleic Acids Res., 2005)

SRide: a server for identifying stabilizing residues in proteins - Csaba Magyar; M. Michael Gromiha; Gerard Pujadas; Gábor E. Tusnády; István Simon (Nucleic Acids Res., 2005)

Analysis and prediction of DNA-binding proteins and their binding residues based on composition, sequence and structural information - Shandar Ahmad; M. Michael Gromiha; Akinori Sarai (Bioinform., 2004)

ASAView: Database and tool for solvent accessibility representation in proteins - Shandar Ahmad; M. Michael Gromiha; Hamed Fawareh; Akinori Sarai (BMC Bioinform., 2004)

Neural network-based prediction of transmembrane -strand segments in outer membrane proteins - M. Michael Gromiha; Shandar Ahmad; Makiko Suwa (J. Comput. Chem., 2004)

ProTherm, version 4.0: thermodynamic database for proteins and mutants - K. Abdulla Bava; M. Michael Gromiha; Hatsuho Uedaira; Koji Kitajima; Akinori Sarai (Nucleic Acids Res., 2004)

Structure-Function Relationship in DNA Sequence Recognition by Transcription Factors - Akinori Sarai; Samuel Selvaraj; M. Michael Gromiha; Hidetoshi Kono (Second Asia-Pacific Bioinformatics Conference (APBC 2004), January 18-22, 2004, Dunedin, New Zealand, 2004)

RVP-net: online prediction of real valued accessible surface area of proteins from single sequences - Shandar Ahmad; M. Michael Gromiha; Akinori Sarai (Bioinform., 2003)

Design and training of a neural network for predicting the solvent accessibility of proteins - Shandar Ahmad; M. Michael Gromiha (J. Comput. Chem., 2003)

Importance of Native-State Topology for Determining the Folding Rate of Two-State Proteins - M. Michael Gromiha (J. Chem. Inf. Comput. Sci., 2003)

NETASA: neural network based prediction of solvent accessibility - Shandar Ahmad; M. Michael Gromiha (Bioinform., 2002)

ProTherm, Thermodynamic Database for Proteins and Mutants: developments in version 3.0 - M. Michael Gromiha; Hatsuho Uedaira; Jianghong An; Samuel Selvaraj; Ponraj Prabakaran; Akinori Sarai (Nucleic Acids Res., 2002)

Thermodynamic database for protein-nucleic acid interactions (ProNIT) - Ponraj Prabakaran; Jianghong An; M. Michael Gromiha; Samuel Selvaraj; Hatsuho Uedaira; Hidetoshi Kono; Akinori Sarai (Bioinform., 2001)

Multicanonical Monte Carlo calculation of the free-energy map of the base-amino acid interaction - Kenji Sayano; Hidetoshi Kono; M. Michael Gromiha; Akinori Sarai (J. Comput. Chem., 2000)

ProTherm, version 2.0: thermodynamic database for proteins and mutants - M. Michael Gromiha; Jianghong An; Hidetoshi Kono; Motohisa Oobatake; Hatsuho Uedaira; Ponraj Prabakaran; Akinori Sarai (Nucleic Acids Res., 2000)

ProTherm: Thermodynamic Database for Proteins and Mutants - M. Michael Gromiha; Jianghong An; Hidetoshi Kono; Motohisa Oobatake; Hatsuho Uedaira; Akinori Sarai (Nucleic Acids Res., 1999)