M. Michael Gromiha

115 papers B 3Journal 92Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comment on "Contrastive pre-training and 3D convolution neural network for RNA and small molecule binding affinity prediction" by Sun and Gao.
Bioinform.
Sowmya Ramaswamy Krishnan, Arijit Roy, M. Michael Gromiha
2025 J jnl
PRA-MutPred: Predicting the Effect of Point Mutations in Protein-RNA Complexes Using Structural Features.
J. Chem. Inf. Model.
K. Harini, Masakazu Sekijima, M. Michael Gromiha
2025 J jnl
Progress on the development of prediction tools for detecting disease causing mutations in proteins.
Comput. Biol. Medicine
M. Michael Gromiha, Medha Pandey, A. Kulandaisamy, Divya Sharma, Fathima Ridha
2024 J jnl
DeepPPAPredMut: deep ensemble method for predicting the binding affinity change in protein-protein complexes upon mutation.
Bioinform.
Rahul Nikam, Sherlyn Jemimah, M. Michael Gromiha
2024 J jnl
MPA-MutPred: a novel strategy for accurately predicting the binding affinity change upon mutation in membrane protein complexes.
Briefings Bioinform.
Fathima Ridha, M. Michael Gromiha
2024 J jnl
Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning.
Briefings Bioinform.
Sowmya Ramaswamy Krishnan, Arijit Roy, M. Michael Gromiha
2023 J jnl
Editorial: Protein recognition and associated diseases.
Frontiers Bioinform.
M. Michael Gromiha, Petras Kundrotas, Marcelo Adrian Marti, Ceslovas Venclovas, Minghui Li
2023 J jnl
TMKit: a Python interface for computational analysis of transmembrane proteins.
Briefings Bioinform.
Jianfeng Sun, Arulsamy Kulandaisamy, Jinlong Ru, M. Michael Gromiha, Adam P. Cribbs
2022 J jnl
Ab-CoV: a curated database for binding affinity and neutralization profiles of coronavirus-related antibodies.
Bioinform.
Puneet Rawat, Divya Sharma, R. Prabakaran, Fathima Ridha, Mugdha Mohkhedkar, Vani Janakiraman, M. Michael Gromiha
2022 J jnl
Erratum to: Evaluation of in silico tools for the prediction of protein and peptide aggregation on diverse datasets.
Briefings Bioinform.
R. Prabakaran, Puneet Rawat, Sandeep Kumar, M. Michael Gromiha
2022 J jnl
Identification of potential driver mutations in glioblastoma using machine learning.
Briefings Bioinform.
Medha Pandey, P. Anoosha, Dhanusha Yesudhas, M. Michael Gromiha
2022 J jnl
ProNAB: database for binding affinities of protein-nucleic acid complexes and their mutants.
Nucleic Acids Res.
Kannan Harini, Ambuj Srivastava, Arulsamy Kulandaisamy, M. Michael Gromiha
2022 J jnl
Srinivasan (1962-2021) in Bioinformatics and beyond.
Bioinform.
M. Michael Gromiha, Christine A. Orengo, Ramanathan Sowdhamini, Janet M. Thornton
2022 J jnl
Understanding the mutational frequency in SARS-CoV-2 proteome using structural features.
Comput. Biol. Medicine
Puneet Rawat, Divya Sharma, Medha Pandey, R. Prabakaran, M. Michael Gromiha
2021 J jnl
Evaluation of in silico tools for the prediction of protein and peptide aggregation on diverse datasets.
Briefings Bioinform.
R. Prabakaran, Puneet Rawat, Sandeep Kumar, M. Michael Gromiha
2021 J jnl
Guest Editorial for Special Section on the 15
IEEE ACM Trans. Comput. Biol. Bioinform.
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
2021 J jnl
MPTherm: database for membrane protein thermodynamics for understanding folding and stability.
Briefings Bioinform.
A. Kulandaisamy, R. Sakthivel, M. Michael Gromiha
2021 J jnl
Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteins.
Briefings Bioinform.
Jan Zaucha, Michael Heinzinger, A. Kulandaisamy, Evans Kataka, Óscar Llorian Salvádor, Petr Popov, Burkhard Rost, M. Michael Gromiha, Boris S. Zhorov, Dmitrij Frishman
2021 J jnl
Prediction of protein-carbohydrate complex binding affinity using structural features.
Briefings Bioinform.
N. R. Siva Shanmugam, J. Jino Blessy, K. Veluraja, M. Michael Gromiha
2021 J jnl
ProThermDB: thermodynamic database for proteins and mutants revisited after 15 years.
Nucleic Acids Res.
Rahul Nikam, A. Kulandaisamy, K. Harini, Divya Sharma, M. Michael Gromiha
2020 J jnl
AggreRATE-Pred: a mathematical model for the prediction of change in aggregation rate upon point mutation.
Bioinform.
Puneet Rawat, R. Prabakaran, Sandeep Kumar, M. Michael Gromiha
2020 J jnl
Guest Editorial for Special Section on the 14th International Conference on Intelligent Computing (ICIC).
IEEE ACM Trans. Comput. Biol. Bioinform.
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
2020 J jnl
Insights into changes in binding affinity caused by disease mutations in protein-protein complexes.
Comput. Biol. Medicine
Sherlyn Jemimah, M. Michael Gromiha
2020 J jnl
Multi-omics-based identification of SARS-CoV-2 infection biology and candidate drugs against COVID-19.
Comput. Biol. Medicine
Debmalya Barh, Sandeep Tiwari, Marianna E. Weener, Vasco Ariston de Carvalho Azevedo, Aristóteles Góes-Neto, M. Michael Gromiha, Preetam Ghosh
2020 J jnl
ProAffiMuSeq: sequence-based method to predict the binding free energy change of protein-protein complexes upon mutation using functional classification.
Bioinform.
Sherlyn Jemimah, Masakazu Sekijima, M. Michael Gromiha
2020 J jnl
ProCaff: protein-carbohydrate complex binding affinity database.
Bioinform.
N. R. Siva Shanmugam, J. Jino Blessy, K. Veluraja, M. Michael Gromiha
2020 J jnl
VEPAD - Predicting the effect of variants associated with Alzheimer's disease using machine learning.
Comput. Biol. Medicine
Uday Rangaswamy, S. Akila Parvathy Dharshini, Dhanusha Yesudhas, M. Michael Gromiha
2019 J jnl
Guest Editorial for Special Section on the 13th International Conference on Intelligent Computing (ICIC).
IEEE ACM Trans. Comput. Biol. Bioinform.
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
2019 — ch.
Protein Structural Bioinformatics: An Overview.
Encyclopedia of Bioinformatics and Computational Biology (2)
M. Michael Gromiha, Raju Nagarajan, Samuel Selvaraj
2019 J jnl
Seq2Feature: a comprehensive web-based feature extraction tool.
Bioinform.
Rahul Nikam, M. Michael Gromiha
2018 — conf
Discrimination and Prediction of Protein-Protein Binding Affinity Using Deep Learning Approach.
ICIC (2)
Rahul Nikam, K. Yugandhar, M. Michael Gromiha
2018 J jnl
Guest Editorial for Special Section on the 12th International Conference on Intelligent Computing (ICIC).
IEEE ACM Trans. Comput. Biol. Bioinform.
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
2018 J jnl
Identification and Analysis of Key Residues in Protein-RNA Complexes.
IEEE ACM Trans. Comput. Biol. Bioinform.
A. Kulandaisamy, Ambuj Srivastava, Pradeep Kumar, Raju Nagarajan, S. Binny Priya, M. Michael Gromiha
2018 — ed.
Intelligent Computing Methodologies - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part III
ICIC (3)
De-Shuang Huang, M. Michael Gromiha, Kyungsook Han, Abir Hussain
2018 J jnl
MutHTP: mutations in human transmembrane proteins.
Bioinform.
A. Kulandaisamy, S. Binny Priya, R. Sakthivel, Svetlana Tarnovskaya, Ilya Bizin, Peter Hönigschmid, Dmitrij Frishman, M. Michael Gromiha
2017 J jnl
Guest Editorial for Special Section on the 11th International Conference on Intelligent Computing (ICIC).
IEEE ACM Trans. Comput. Biol. Bioinform.
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
2017 — conf
Influence of Amino Acid Properties for Characterizing Amyloid Peptides in Human Proteome.
ICIC (2)
R. Prabakaran, Rahul Nikam, Sandeep Kumar, M. Michael Gromiha
2017 — ed.
Intelligent Computing Methodologies - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part III
ICIC (3)
De-Shuang Huang, Abir Hussain, Kyungsook Han, M. Michael Gromiha
2017 J jnl
PROXiMATE: a database of mutant protein-protein complex thermodynamics and kinetics.
Bioinform.
Sherlyn Jemimah, K. Yugandhar, M. Michael Gromiha
2016 — conf
Computational Analysis of Similar Protein-DNA Complexes from Different Organisms to Understand Organism Specific Recognition.
ICIC (2)
Raju Nagarajan, M. Michael Gromiha
2016 J jnl
Guest Editorial for Special Section on the 10th International Conference on Intelligent Computing (ICIC).
IEEE ACM Trans. Comput. Biol. Bioinform.
De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha
2016 J jnl
Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015.
BMC Bioinform.
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, Raju Nagarajan, 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
2015 J jnl
Development of a Machine Learning Method to Predict Membrane Protein-Ligand Binding Residues Using Basic Sequence Information.
Adv. Bioinformatics
M. Xavier Suresh, M. Michael Gromiha, Makiko Suwa
2015 J jnl
Folding RaCe: a robust method for predicting changes in protein folding rates upon point mutations.
Bioinform.
Priyashree Chaudhary, Athi N. Naganathan, M. Michael Gromiha
2015 J jnl
Response to the comment on 'protein-protein binding affinity prediction from amino acid sequence'.
Bioinform.
K. Yugandhar, M. Michael Gromiha
2014 J jnl
Bioinformatics approaches for functional annotation of membrane proteins.
Briefings Bioinform.
M. Michael Gromiha, Yu-Yen Ou
2014 J jnl
GAP: towards almost 100 percent prediction for β-strand-mediated aggregating peptides with distinct morphologies.
Bioinform.
A. Mary Thangakani, Sandeep Kumar, Raju Nagarajan, Devadasan Velmurugan, M. Michael Gromiha
2014 J jnl
High throughput computing to improve efficiency of predicting protein stability change upon mutation.
Int. J. Data Min. Bioinform.
Chao-Chin Wu, Lien Fu Lai, M. Michael Gromiha, Liang-Tsung Huang
2014 — conf
Identification of Novel c-Yes Kinase Inhibitors.
ICIC (3)
C. Ramakrishnan, A. Mary Thangakani, Devadasan Velmurugan, M. Michael Gromiha
2014 — ed.
Intelligent Computing in Bioinformatics - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings
ICIC (3)
De-Shuang Huang, Kyungsook Han, M. Michael Gromiha
2014 J jnl
Protein-protein binding affinity prediction from amino acid sequence.
Bioinform.
K. Yugandhar, M. Michael Gromiha
2013 J jnl
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.
A. Mary Thangakani, Sandeep Kumar, Devadasan Velmurugan, M. Michael Gromiha
2013 — ed.
Emerging Intelligent Computing Technology and Applications - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings
ICIC (3)
De-Shuang Huang, Phalguni Gupta, Ling Wang, M. Michael Gromiha
2013 — conf
Role of Protein Aggregation and Interactions between α-Synuclein and Calbindin in Parkinson's Disease.
ICIC (2)
M. Michael Gromiha, S. Biswal, A. Mary Thangakani, Sandeep Kumar, G. J. Masilamoni, Devadasan Velmurugan
2012 — ed.
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
ICIC (2)
De-Shuang Huang, Yong Gan, Phalguni Gupta, M. Michael Gromiha
2012 — ed.
Intelligent Computing Theories and Applications - 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings
ICIC (2)
De-Shuang Huang, Jianhua Ma, Kang-Hyun Jo, M. Michael Gromiha
2012 J jnl
Introduction: advanced intelligent computing theories and their applications in bioinformatics.
BMC Bioinform.
M. Michael Gromiha, De-Shuang Huang
2012 J jnl
Real value prediction of protein folding rate change upon point mutation.
J. Comput. Aided Mol. Des.
Liang-Tsung Huang, M. Michael Gromiha
2012 J jnl
Relationship between amino acid properties and functional parameters in olfactory receptors and discrimination of mutants with enhanced specificity.
BMC Bioinform.
M. Michael Gromiha, K. Harini, R. Sowdhamini, Kazuhiko Fukui
2012 — conf
Sequence Analysis and Discrimination of Amyloid and Non-amyloid Peptides.
ICIC (3)
M. Michael Gromiha, A. Mary Thangakani, Sandeep Kumar, Devadasan Velmurugan
2012 J jnl
ccPDB: compilation and creation of data sets from Protein Data Bank.
Nucleic Acids Res.
Harinder Singh, Jagat Singh Chauhan, M. Michael Gromiha, Gajendra P. S. Raghava
2011 J jnl
Prediction of transporter targets using efficient RBF networks with PSSM profiles and biochemical properties.
Bioinform.
Shu-An Chen, Yu-Yen Ou, Tzong-Yi Lee, M. Michael Gromiha
2011 J jnl
Scoring Function Based Approach for Locating Binding Sites and Understanding Recognition Mechanism of Protein-DNA Complexes.
J. Chem. Inf. Model.
M. Michael Gromiha, Kazuhiko Fukui
2011 — conf
Structure-Function Relationship in Olfactory Receptors.
ICIC (3)
M. Michael Gromiha, R. Sowdhamini, Kazuhiko Fukui
2010 J jnl
Development of knowledge-based system for predicting the stability of proteins upon point mutations.
Neurocomputing
Liang-Tsung Huang, Lien Fu Lai, Chao-Chin Wu, M. Michael Gromiha
2010 J jnl
First insight into the prediction of protein folding rate change upon point mutation.
Bioinform.
Liang-Tsung Huang, M. Michael Gromiha
2010 J jnl
Human-Readable Rule Generator for Integrating Amino Acid Sequence Information and Stability of Mutant Proteins.
IEEE ACM Trans. Comput. Biol. Bioinform.
Liang-Tsung Huang, Lien Fu Lai, M. Michael Gromiha
2010 — conf
Identification and Analysis of Binding Site Residues in Protein Complexes: Energy Based Approach.
ICIC (1)
M. Michael Gromiha, Samuel Selvaraj, B. Jayaram, Kazuhiko Fukui
2010 J jnl
Prediction of Protein Folding Rates from Structural Topology and Complex Network Properties.
Inf. Media Technol.
Jiangning Song, Kazuhiro Takemoto, Hongbin Shen, Hao Tan, M. Michael Gromiha, Tatsuya Akutsu
2010 J jnl
Prediction of membrane spanning segments and topology in beta-barrel membrane proteins at better accuracy.
J. Comput. Chem.
Yu-Yen Ou, Shu-An Chen, M. Michael Gromiha
2010 — conf
Sequence and structural features of binding site residues in protein-protein complexes.
BIBM
M. Michael Gromiha, N. Saranya, Samuel Selvaraj, B. Jayaram, Kazuhiko Fukui
2010 — conf
Topology Prediction of
ICIC (1)
Shu-An Chen, Yu-Yen Ou, M. Michael Gromiha
2009 J jnl
Multiple Contact Network Is a Key Determinant to Protein Folding Rates.
J. Chem. Inf. Model.
M. Michael Gromiha
2009 J jnl
Reliable prediction of protein thermostability change upon double mutation from amino acid sequence.
Bioinform.
Liang-Tsung Huang, M. Michael Gromiha
2009 J jnl
TMFunction: database for functional residues in membrane proteins.
Nucleic Acids Res.
M. Michael Gromiha, Yukimitsu Yabuki, M. Xavier Suresh, A. Mary Thangakani, Makiko Suwa, Kazuhiko Fukui
2008 J jnl
Analysis and prediction of protein folding rates using quadratic response surface models.
J. Comput. Chem.
Liang-Tsung Huang, M. Michael Gromiha
2008 J jnl
Functional discrimination of membrane proteins using machine learning techniques.
BMC Bioinform.
M. Michael Gromiha, Yukimitsu Yabuki
2008 B conf
Gene Ontology term prediction based upon amino acid occurrence.
IJCNN
Y-h. Taguchi, M. Michael Gromiha
2008 B conf
Neural network based prediction of protein structure and Function: Comparison with other machine learning methods.
IJCNN
M. Michael Gromiha, Shandar Ahmad, Makiko Suwa
2008 — conf
Sequence Based Prediction of Protein Mutant Stability and Discrimination of Thermophilic Proteins.
PRIB
M. Michael Gromiha, Liang-Tsung Huang, Lien Fu Lai
2008 J jnl
TMBETADISC-RBF: Discrimination of beta-barrel membrane proteins using RBF networks and PSSM profiles.
Comput. Biol. Chem.
Yu-Yen Ou, M. Michael Gromiha, Shu-An Chen, Makiko Suwa
2007 J jnl
Application of amino acid occurrence for discriminating different folding types of globular proteins.
BMC Bioinform.
Y-h. Taguchi, M. Michael Gromiha
2007 — conf
Bioinformatics on beta-Barrel Membrane Proteins: Sequence and Structural Analysis, Discrimination and Prediction.
PRIB
M. Michael Gromiha
2007 J jnl
Identification of DNA-binding proteins using support vector machines and evolutionary profiles.
BMC Bioinform.
Manish Kumar, M. Michael Gromiha, Gajendra P. S. Raghava
2007 — conf
Protein Fold Recognition Based Upon the Amino Acid Occurrence.
PRIB
Yoshihiro Taguchi, M. Michael Gromiha
2007 J jnl
TMB Finding Pipeline: Novel Approach for Detecting β-Barrel Membrane Proteins in Genomic Sequences.
J. Chem. Inf. Model.
M. Michael Gromiha, Yukimitsu Yabuki, Makiko Suwa
2007 J jnl
TMBETA-GENOME: database for annotated ß-barrel membrane proteins in genomic sequences.
Nucleic Acids Res.
M. Michael Gromiha, Yukimitsu Yabuki, Srinesh Kundu, Sivasundaram Suharnan, Makiko Suwa
2007 J jnl
iPTREE-STAB: interpretable decision tree based method for predicting protein stability changes upon mutations.
Bioinform.
Liang-Tsung Huang, M. Michael Gromiha, Shinn-Ying Ho
2006 J jnl
A Statistical Method for Predicting Protein Unfolding Rates from Amino Acid Sequence.
J. Chem. Inf. Model.
M. Michael Gromiha, Samuel Selvaraj, A. Mary Thangakani
2006 J jnl
CUPSAT: prediction of protein stability upon point mutations.
Nucleic Acids Res.
Vijaya Parthiban, M. Michael Gromiha, Dietmar Schomburg
2006 J jnl
FOLD-RATE: prediction of protein folding rates from amino acid sequence.
Nucleic Acids Res.
M. Michael Gromiha, A. Mary Thangakani, Samuel Selvaraj
2006 J jnl
Knowledge acquisition and development of accurate rules for predicting protein stability changes.
Comput. Biol. Chem.
Liang-Tsung Huang, M. Michael Gromiha, Shiow-Fen Hwang, Shinn-Ying Ho
2006 J jnl
PINT: Protein-protein Interactions Thermodynamic Database.
Nucleic Acids Res.
M. D. Shaji Kumar, M. Michael Gromiha
2006 J jnl
ProTherm and ProNIT: thermodynamic databases for proteins and protein-nucleic acid interactions.
Nucleic Acids Res.
M. D. Shaji Kumar, K. Abdulla Bava, M. Michael Gromiha, Ponraj Prabakaran, Koji Kitajima, Hatsuho Uedaira, Akinori Sarai
2005 J jnl
A Statistical Model for Predicting Protein Folding Rates from Amino Acid Sequence with Structural Class Information.
J. Chem. Inf. Model.
M. Michael Gromiha
2005 J jnl
A simple statistical method for discriminating outer membrane proteins with better accuracy.
Bioinform.
M. Michael Gromiha, Makiko Suwa
2005 J jnl
Application of residue distribution along the sequence for discriminating outer membrane proteins.
Comput. Biol. Chem.
M. Michael Gromiha, Shandar Ahmad, Makiko Suwa
2005 J jnl
Discrimination of outer membrane proteins using support vector machines.
Bioinform.
Keun-Joon Park, M. Michael Gromiha, Paul Horton, Makiko Suwa
2005 J jnl
Integration of Bioinformatics and Computational Biology to Understand Protein-dna Recognition Mechanism.
J. Bioinform. Comput. Biol.
Akinori Sarai, Jorg Siebers, Samuel Selvaraj, M. Michael Gromiha, Hidetoshi Kono
2005 J jnl
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.
K. Saraboji, M. Michael Gromiha, Mon Nanjappa Ponnuswamy
2005 J jnl
SRide: a server for identifying stabilizing residues in proteins.
Nucleic Acids Res.
Csaba Magyar, M. Michael Gromiha, Gerard Pujadas, Gábor E. Tusnády, István Simon
2005 J jnl
TMBETA-NET: discrimination and prediction of membrane spanning ß-strands in outer membrane proteins.
Nucleic Acids Res.
M. Michael Gromiha, Shandar Ahmad, Makiko Suwa
2004 J jnl
Analysis and prediction of DNA-binding proteins and their binding residues based on composition, sequence and structural information.
Bioinform.
Shandar Ahmad, M. Michael Gromiha, Akinori Sarai
2004 J jnl
Neural network-based prediction of transmembrane -strand segments in outer membrane proteins.
J. Comput. Chem.
M. Michael Gromiha, Shandar Ahmad, Makiko Suwa
2004 J jnl
ProTherm, version 4.0: thermodynamic database for proteins and mutants.
Nucleic Acids Res.
K. Abdulla Bava, M. Michael Gromiha, Hatsuho Uedaira, Koji Kitajima, Akinori Sarai
2004 B conf
Structure-Function Relationship in DNA Sequence Recognition by Transcription Factors.
APBC
Akinori Sarai, Samuel Selvaraj, M. Michael Gromiha, Hidetoshi Kono
2003 J jnl
Design and training of a neural network for predicting the solvent accessibility of proteins.
J. Comput. Chem.
Shandar Ahmad, M. Michael Gromiha
2003 J jnl
Importance of Native-State Topology for Determining the Folding Rate of Two-State Proteins.
J. Chem. Inf. Comput. Sci.
M. Michael Gromiha
2003 J jnl
RVP-net: online prediction of real valued accessible surface area of proteins from single sequences.
Bioinform.
Shandar Ahmad, M. Michael Gromiha, Akinori Sarai
2002 J jnl
NETASA: neural network based prediction of solvent accessibility.
Bioinform.
Shandar Ahmad, M. Michael Gromiha
2002 J jnl
ProTherm, Thermodynamic Database for Proteins and Mutants: developments in version 3.0.
Nucleic Acids Res.
M. Michael Gromiha, Hatsuho Uedaira, Jianghong An, Samuel Selvaraj, Ponraj Prabakaran, Akinori Sarai
2001 J jnl
Thermodynamic database for protein-nucleic acid interactions (ProNIT).
Bioinform.
Ponraj Prabakaran, Jianghong An, M. Michael Gromiha, Samuel Selvaraj, Hatsuho Uedaira, Hidetoshi Kono, Akinori Sarai
2000 J jnl
Multicanonical Monte Carlo calculation of the free-energy map of the base-amino acid interaction.
J. Comput. Chem.
Kenji Sayano, Hidetoshi Kono, M. Michael Gromiha, Akinori Sarai
2000 J jnl
ProTherm, version 2.0: thermodynamic database for proteins and mutants.
Nucleic Acids Res.
M. Michael Gromiha, Jianghong An, Hidetoshi Kono, Motohisa Oobatake, Hatsuho Uedaira, Ponraj Prabakaran, Akinori Sarai
1999 J jnl
ProTherm: Thermodynamic Database for Proteins and Mutants.
Nucleic Acids Res.
M. Michael Gromiha, Jianghong An, Hidetoshi Kono, Motohisa Oobatake, Hatsuho Uedaira, Akinori Sarai