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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Protein Structural Bioinformatics: An Overview. - Gromiha, M. Michael; Nagarajan, Raju; Selvaraj, Samuel (2019)

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

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

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

Discrimination and Prediction of Protein-Protein Binding Affinity Using Deep Learning Approach. - Nikam, Rahul; Yugandhar, K.; Gromiha, M. Michael (2018)

Intelligent Computing Methodologies - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part III (Springer, 2018)

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

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

Influence of Amino Acid Properties for Characterizing Amyloid Peptides in Human Proteome. - Prabakaran, R.; Nikam, Rahul; Kumar, Sandeep; Gromiha, M. Michael (2017)

Intelligent Computing Methodologies - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part III (Springer, 2017)

Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015. - Wilkins, Katie; Hassan, Mehedi; Francescatto, Margherita; Jespersen, Jakob B.; Parra, R. Gonzalo; Cuypers, Bart; DeBlasio, Dan F.; Junge, Alexander; Jigisha, Anupama; Rahman, Farzana; Laenen, Griet; Willems, Sander; et al. (BMC Bioinform., 2016)

In silico identification of essential proteins in Corynebacterium pseudotuberculosis based on protein-protein interaction networks. - Folador, Edson Luiz; Carvalho, Paulo Vinícius Sanches Daltro de; Silva, Wanderson Marques; Ferreira, Rafaela Salgado; Silva, Artur; Gromiha, M. Michael; Ghosh, Preetam; Barh, Debmalya; Azevedo, Vasco Ariston de Carvalho; Röttger, Richard (BMC Syst. Biol., 2016)

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

Computational Analysis of Similar Protein-DNA Complexes from Different Organisms to Understand Organism Specific Recognition. - Nagarajan, Raju; Gromiha, M. Michael (2016)

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

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

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

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

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

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

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

Identification of Novel c-Yes Kinase Inhibitors. - Ramakrishnan, C.; Thangakani, A. Mary; Velmurugan, Devadasan; Gromiha, M. Michael (2014)

Intelligent Computing in Bioinformatics - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings (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. - Thangakani, A. Mary; Kumar, Sandeep; Velmurugan, Devadasan; Gromiha, M. Michael (BMC Bioinform., 2013)

Role of Protein Aggregation and Interactions between α-Synuclein and Calbindin in Parkinson's Disease. - Gromiha, M. Michael; Biswal, S.; Thangakani, A. Mary; Kumar, Sandeep; Masilamoni, G. J.; Velmurugan, Devadasan (2013)

Emerging Intelligent Computing Technology and Applications - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings (Springer, 2013)

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

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

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

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

Sequence Analysis and Discrimination of Amyloid and Non-amyloid Peptides. - Gromiha, M. Michael; Thangakani, A. Mary; Kumar, Sandeep; Velmurugan, Devadasan (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 (Springer, 2012)

Intelligent Computing Theories and Applications - 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings (Springer, 2012)

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

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

Structure-Function Relationship in Olfactory Receptors. - Gromiha, M. Michael; Sowdhamini, R.; Fukui, Kazuhiko (2011)

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

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

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

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

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

Sequence and structural features of binding site residues in protein-protein complexes. - Gromiha, M. Michael; Saranya, N.; Selvaraj, Samuel; Jayaram, B.; Fukui, Kazuhiko (2010)

Identification and Analysis of Binding Site Residues in Protein Complexes: Energy Based Approach. - Gromiha, M. Michael; Selvaraj, Samuel; Jayaram, B.; Fukui, Kazuhiko (2010)

Topology Prediction of alpha-Helical and beta-Barrel Transmembrane Proteins Using RBF Networks. - Chen, Shu-An; Ou, Yu-Yen; Gromiha, M. Michael (2010)

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

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

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

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

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

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

Gene Ontology term prediction based upon amino acid occurrence. - Taguchi, Y-h.; Gromiha, M. Michael (2008)

Neural network based prediction of protein structure and Function: Comparison with other machine learning methods. - Gromiha, M. Michael; Ahmad, Shandar; Suwa, Makiko (2008)

Sequence Based Prediction of Protein Mutant Stability and Discrimination of Thermophilic Proteins. - Gromiha, M. Michael; Huang, Liang-Tsung; Lai, Lien Fu (2008)

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

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

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

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

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

Protein Fold Recognition Based Upon the Amino Acid Occurrence. - Taguchi, Yoshihiro; Gromiha, M. Michael (2007)

Bioinformatics on beta-Barrel Membrane Proteins: Sequence and Structural Analysis, Discrimination and Prediction. - Gromiha, M. Michael (2007)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Structure-Function Relationship in DNA Sequence Recognition by Transcription Factors. - Sarai, Akinori; Selvaraj, Samuel; Gromiha, M. Michael; Kono, Hidetoshi (2004)

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

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

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

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

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

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

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

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

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