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ORCIDM. Michael Gromiha
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2020 – today
- 2024
[j89]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)- 2023
- [j88]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) - [j87]M. Michael Gromiha, Petras Kundrotas, Marcelo Adrian Marti, Ceslovas Venclovas, Minghui Li:
Editorial: Protein recognition and associated diseases. Frontiers Bioinform. 3 (2023) - 2022
- [j86]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) - [j85]Medha Pandey, P. Anoosha, Dhanusha Yesudhas, M. Michael Gromiha:
Identification of potential driver mutations in glioblastoma using machine learning. Briefings Bioinform. 23(6) (2022) - [j84]M. Michael Gromiha, Christine A. Orengo, Ramanathan Sowdhamini, Janet M. Thornton:
Srinivasan (1962-2021) in Bioinformatics and beyond. Bioinform. 38(8): 2377-2379 (2022) - [j83]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): 4051-4052 (2022) - [j82]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: 105708 (2022) - [j81]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): 1528-1534 (2022) - 2021
- [j80]A. Kulandaisamy, R. Sakthivel, M. Michael Gromiha:
MPTherm: database for membrane protein thermodynamics for understanding folding and stability. Briefings Bioinform. 22(2): 2119-2125 (2021) - [j79]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) - [j78]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) - [j77]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) - [j76]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): D420-D424 (2021) - [j75]De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha:
Guest Editorial for Special Section on the 15th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1730-1732 (2021) - 2020
- [j74]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): 1439-1444 (2020) - [j73]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): 1725-1730 (2020) - [j72]N. R. Siva Shanmugam, J. Jino Blessy, K. Veluraja, M. Michael Gromiha:
ProCaff: protein-carbohydrate complex binding affinity database. Bioinform. 36(11): 3615-3617 (2020) - [j71]Sherlyn Jemimah, M. Michael Gromiha:
Insights into changes in binding affinity caused by disease mutations in protein-protein complexes. Comput. Biol. Medicine 123: 103829 (2020) - [j70]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: 103933 (2020) - [j69]Debmalya Barh, Sandeep Tiwari, Marianna E. Weener, Vasco Ariston de Carvalho 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: 104051 (2020) - [j68]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): 1474-1475 (2020)
2010 – 2019
- 2019
- [j67]Rahul Nikam, M. Michael Gromiha:
Seq2Feature: a comprehensive web-based feature extraction tool. Bioinform. 35(22): 4797-4799 (2019) - [j66]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): 749-750 (2019) - [r1]M. Michael Gromiha, Raju Nagarajan, Samuel Selvaraj:
Protein Structural Bioinformatics: An Overview. Encyclopedia of Bioinformatics and Computational Biology (2) 2019: 445-459 - 2018
- [j65]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): 2325-2326 (2018) - [j64]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): 1433-1435 (2018) - [j63]A. Kulandaisamy, Ambuj Srivastava, Pradeep Kumar, Raju 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): 1436-1444 (2018) - [c16]Rahul Nikam, K. Yugandhar, M. Michael Gromiha:
Discrimination and Prediction of Protein-Protein Binding Affinity Using Deep Learning Approach. ICIC (2) 2018: 809-815 - [e6]De-Shuang Huang, M. Michael Gromiha, Kyungsook Han, Abir Hussain:
Intelligent Computing Methodologies - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part III. Lecture Notes in Computer Science 10956, Springer 2018, ISBN 978-3-319-95956-6 [contents] - 2017
- [j62]Sherlyn Jemimah, K. Yugandhar, M. Michael Gromiha:
PROXiMATE: a database of mutant protein-protein complex thermodynamics and kinetics. Bioinform. 33(17): 2787-2788 (2017) - [j61]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): 1104-1105 (2017) - [c15]R. Prabakaran, Rahul Nikam, Sandeep Kumar, M. Michael Gromiha:
Influence of Amino Acid Properties for Characterizing Amyloid Peptides in Human Proteome. ICIC (2) 2017: 541-548 - [e5]De-Shuang Huang, Abir Hussain, Kyungsook Han, M. Michael Gromiha:
Intelligent Computing Methodologies - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part III. Lecture Notes in Computer Science 10363, Springer 2017, ISBN 978-3-319-63314-5 [contents] - 2016
- [j60]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) - [j59]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:
In silico identification of essential proteins in Corynebacterium pseudotuberculosis based on protein-protein interaction networks. BMC Syst. Biol. 10: 103:1-103:9 (2016) - [j58]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): 1-3 (2016) - [c14]Raju Nagarajan, M. Michael Gromiha:
Computational Analysis of Similar Protein-DNA Complexes from Different Organisms to Understand Organism Specific Recognition. ICIC (2) 2016: 888-894 - 2015
- [j57]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: 843030:1-843030:7 (2015) - [j56]K. Yugandhar, M. Michael Gromiha:
Response to the comment on 'protein-protein binding affinity prediction from amino acid sequence'. Bioinform. 31(6): 978 (2015) - [j55]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): 2091-2097 (2015) - 2014
- [j54]M. Michael Gromiha, Yu-Yen Ou:
Bioinformatics approaches for functional annotation of membrane proteins. Briefings Bioinform. 15(2): 155-168 (2014) - [j53]A. Mary Thangakani, Sandeep Kumar, Raju Nagarajan, Devadasan Velmurugan, M. Michael Gromiha:
GAP: towards almost 100 percent prediction for β-strand-mediated aggregating peptides with distinct morphologies. Bioinform. 30(14): 1983-1990 (2014) - [j52]K. Yugandhar, M. Michael Gromiha:
Protein-protein binding affinity prediction from amino acid sequence. Bioinform. 30(24): 3583-3589 (2014) - [j51]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): 206-224 (2014) - [c13]C. Ramakrishnan, A. Mary Thangakani, Devadasan Velmurugan, M. Michael Gromiha:
Identification of Novel c-Yes Kinase Inhibitors. ICIC (3) 2014: 494-500 - [e4]De-Shuang Huang, Kyungsook Han, M. Michael Gromiha:
Intelligent Computing in Bioinformatics - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings. Lecture Notes in Computer Science 8590, Springer 2014, ISBN 978-3-319-09329-1 [contents] - 2013
- [j50]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): S6 (2013) - [c12]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: 677-684 - [e3]De-Shuang Huang, Phalguni Gupta, Ling Wang, M. Michael Gromiha:
Emerging Intelligent Computing Technology and Applications - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings. Communications in Computer and Information Science 375, Springer 2013, ISBN 978-3-642-39677-9 [contents] - 2012
- [j49]M. Michael Gromiha, De-Shuang Huang:
Introduction: advanced intelligent computing theories and their applications in bioinformatics. BMC Bioinform. 13(S-7): I1 (2012) - [j48]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): S1 (2012) - [j47]Liang-Tsung Huang, M. Michael Gromiha:
Real value prediction of protein folding rate change upon point mutation. J. Comput. Aided Mol. Des. 26(3): 339-347 (2012) - [j46]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): 486-489 (2012) - [c11]M. Michael Gromiha, A. Mary Thangakani, Sandeep Kumar, Devadasan Velmurugan:
Sequence Analysis and Discrimination of Amyloid and Non-amyloid Peptides. ICIC (3) 2012: 447-452 - [e2]De-Shuang Huang, Yong Gan, Phalguni Gupta, M. Michael Gromiha:
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. Lecture Notes in Computer Science 6839, Springer 2012, ISBN 978-3-642-25943-2 [contents] - [e1]De-Shuang Huang, Jianhua Ma, Kang-Hyun Jo, M. Michael Gromiha:
Intelligent Computing Theories and Applications - 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings. Lecture Notes in Computer Science 7390, Springer 2012, ISBN 978-3-642-31575-6 [contents] - 2011
- [j45]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): 2062-2067 (2011) - [j44]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): 721-729 (2011) - [c10]M. Michael Gromiha, R. Sowdhamini, Kazuhiko Fukui:
Structure-Function Relationship in Olfactory Receptors. ICIC (3) 2011: 618-623 - 2010
- [j43]Liang-Tsung Huang, M. Michael Gromiha:
First insight into the prediction of protein folding rate change upon point mutation. Bioinform. 26(17): 2121-2127 (2010) - [j42]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): 2293-2299 (2010) - [j41]Jiangning Song, Kazuhiro Takemoto, Hongbin Shen, Hao Tan, M. Michael Gromiha, Tatsuya Akutsu:
Prediction of Protein Folding Rates from Structural Topology and Complex Network Properties. Inf. Media Technol. 5(3): 980-993 (2010) - [j40]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): 217-223 (2010) - [j39]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): 681-687 (2010) - [c9]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: 53-56 - [c8]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: 626-633 - [c7]Shu-An Chen, Yu-Yen Ou, M. Michael Gromiha:
Topology Prediction of alpha-Helical and beta-Barrel Transmembrane Proteins Using RBF Networks. ICIC (1) 2010: 642-649
2000 – 2009
- 2009
- [j38]Liang-Tsung Huang, M. Michael Gromiha:
Reliable prediction of protein thermostability change upon double mutation from amino acid sequence. Bioinform. 25(17): 2181-2187 (2009) - [j37]M. Michael Gromiha:
Multiple Contact Network Is a Key Determinant to Protein Folding Rates. J. Chem. Inf. Model. 49(4): 1130-1135 (2009) - [j36]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): 201-204 (2009) - 2008
- [j35]M. Michael Gromiha, Yukimitsu Yabuki:
Functional discrimination of membrane proteins using machine learning techniques. BMC Bioinform. 9 (2008) - [j34]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): 227-231 (2008) - [j33]Liang-Tsung Huang, M. Michael Gromiha:
Analysis and prediction of protein folding rates using quadratic response surface models. J. Comput. Chem. 29(10): 1675-1683 (2008) - [c6]Y-h. Taguchi, M. Michael Gromiha:
Gene Ontology term prediction based upon amino acid occurrence. IJCNN 2008: 615-620 - [c5]M. Michael Gromiha, Shandar Ahmad, Makiko Suwa:
Neural network based prediction of protein structure and Function: Comparison with other machine learning methods. IJCNN 2008: 1739-1744 - [c4]M. Michael Gromiha, Liang-Tsung Huang, Lien Fu Lai:
Sequence Based Prediction of Protein Mutant Stability and Discrimination of Thermophilic Proteins. PRIB 2008: 1-12 - 2007
- [j32]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): 1292-1293 (2007) - [j31]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) - [j30]Y-h. Taguchi, M. Michael Gromiha:
Application of amino acid occurrence for discriminating different folding types of globular proteins. BMC Bioinform. 8 (2007) - [j29]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): 2456-2461 (2007) - [j28]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): 314-316 (2007) - [c3]Yoshihiro Taguchi, M. Michael Gromiha:
Protein Fold Recognition Based Upon the Amino Acid Occurrence. PRIB 2007: 120-131 - [c2]M. Michael Gromiha:
Bioinformatics on beta-Barrel Membrane Proteins: Sequence and Structural Analysis, Discrimination and Prediction. PRIB 2007: 148-157 - 2006
- [j27]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): 408-415 (2006) - [j26]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): 1503-1508 (2006) - [j25]M. D. Shaji Kumar, M. Michael Gromiha:
PINT: Protein-protein Interactions Thermodynamic Database. Nucleic Acids Res. 34(Database-Issue): 195-198 (2006) - [j24]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): 204-206 (2006) - [j23]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): 70-74 (2006) - [j22]Vijaya Parthiban, M. Michael Gromiha, Dietmar Schomburg:
CUPSAT: prediction of protein stability upon point mutations. Nucleic Acids Res. 34(Web-Server-Issue): 239-242 (2006) - 2005
- [j21]M. Michael Gromiha, Makiko Suwa:
A simple statistical method for discriminating outer membrane proteins with better accuracy. Bioinform. 21(7): 961-968 (2005) - [j20]Keun-Joon Park, M. Michael Gromiha, Paul Horton, Makiko Suwa:
Discrimination of outer membrane proteins using support vector machines. Bioinform. 21(23): 4223-4229 (2005) - [j19]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): 25-35 (2005) - [j18]M. Michael Gromiha, Shandar Ahmad, Makiko Suwa:
Application of residue distribution along the sequence for discriminating outer membrane proteins. Comput. Biol. Chem. 29(2): 135-142 (2005) - [j17]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): 169-183 (2005) - [j16]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): 494-501 (2005) - [j15]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): 164-167 (2005) - [j14]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): 303-305 (2005) - 2004
- [j13]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): 477-486 (2004) - [j12]Shandar Ahmad, M. Michael Gromiha, Hamed Fawareh, Akinori Sarai:
ASAView: Database and tool for solvent accessibility representation in proteins. BMC Bioinform. 5: 51 (2004) - [j11]M. Michael Gromiha, Shandar Ahmad, Makiko Suwa:
Neural network-based prediction of transmembrane -strand segments in outer membrane proteins. J. Comput. Chem. 25(5): 762-767 (2004) - [j10]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): 120-121 (2004) - [c1]Akinori Sarai, Samuel Selvaraj, M. Michael Gromiha, Hidetoshi Kono:
Structure-Function Relationship in DNA Sequence Recognition by Transcription Factors. APBC 2004: 233-238 - 2003
- [j9]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): 1849-1851 (2003) - [j8]Shandar Ahmad, M. Michael Gromiha:
Design and training of a neural network for predicting the solvent accessibility of proteins. J. Comput. Chem. 24(11): 1313-1320 (2003) - [j7]M. Michael Gromiha:
Importance of Native-State Topology for Determining the Folding Rate of Two-State Proteins. J. Chem. Inf. Comput. Sci. 43(5): 1481-1485 (2003) - 2002
- [j6]Shandar Ahmad, M. Michael Gromiha:
NETASA: neural network based prediction of solvent accessibility. Bioinform. 18(6): 819-824 (2002) - [j5]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): 301-302 (2002) - 2001
- [j4]Ponraj Prabakaran, Jianghong An, M. Michael Gromiha, Samuel Selvaraj, Hatsuho Uedaira, Hidetoshi Kono, Akinori Sarai:
Thermodynamic database for protein-nucleic acid interactions (ProNIT). Bioinform. 17(11): 1027-1034 (2001) - 2000
- [j3]Kenji Sayano, Hidetoshi Kono, M. Michael Gromiha, Akinori Sarai:
Multicanonical Monte Carlo calculation of the free-energy map of the base-amino acid interaction. J. Comput. Chem. 21(11): 954-962 (2000) - [j2]M. Michael Gromiha, Jianghong An, Hidetoshi Kono, Motohisa Oobatake, Hatsuho Uedaira, Ponraj Prabakaran, Akinori Sarai:
ProTherm, version 2.0: thermodynamic database for proteins and mutants. Nucleic Acids Res. 28(1): 283-285 (2000)
1990 – 1999
- 1999
- [j1]M. Michael Gromiha, Jianghong An, Hidetoshi Kono, Motohisa Oobatake, Hatsuho Uedaira, Akinori Sarai:
ProTherm: Thermodynamic Database for Proteins and Mutants. Nucleic Acids Res. 27(1): 286-288 (1999)
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
