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M. Michael Gromiha
2010 – today
- 2013
[j46]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. BMC Bioinformatics 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 (Eds.): 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
- 2012
- [j45]M. Michael Gromiha, De-Shuang Huang: Introduction: advanced intelligent computing theories and their applications in bioinformatics. BMC Bioinformatics 13(S-7): I1 (2012)
- [j44]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 Bioinformatics 13(S-7): S1 (2012)
- [j43]Liang-Tsung Huang, M. Michael Gromiha: Real value prediction of protein folding rate change upon point mutation. Journal of Computer-Aided Molecular Design 26(3): 339-347 (2012)
- [j42]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 Research 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 (Eds.): 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
- [e1]De-Shuang Huang, Jianhua Ma, Kang-Hyun Jo, M. Michael Gromiha (Eds.): 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
- 2011
- [j41]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. Bioinformatics 27(15): 2062-2067 (2011)
- [c10]M. Michael Gromiha, R. Sowdhamini, Kazuhiko Fukui: Structure-Function Relationship in Olfactory Receptors. ICIC (3) 2011: 618-623
- 2010
- [j40]Liang-Tsung Huang, M. Michael Gromiha: First insight into the prediction of protein folding rate change upon point mutation. Bioinformatics 26(17): 2121-2127 (2010)
- [j39]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)
- [j38]Yu-Yen Ou, Shu-An Chen, M. Michael Gromiha: Prediction of membrane spanning segments and topology in beta-barrel membrane proteins at better accuracy. Journal of Computational Chemistry 31(1): 217-223 (2010)
- [j37]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. Biology 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
- [j36]Liang-Tsung Huang, M. Michael Gromiha: Reliable prediction of protein thermostability change upon double mutation from amino acid sequence. Bioinformatics 25(17): 2181-2187 (2009)
- [j35]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 Research 37(Database-Issue): 201-204 (2009)
- 2008
- [j34]M. Michael Gromiha, Yukimitsu Yabuki: Functional discrimination of membrane proteins using machine learning techniques. BMC Bioinformatics 9 (2008)
- [j33]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. Computational Biology and Chemistry 32(3): 227-231 (2008)
- [j32]Liang-Tsung Huang, M. Michael Gromiha: Analysis and prediction of protein folding rates using quadratic response surface models. Journal of Computational Chemistry 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
- [j31]Liang-Tsung Huang, M. Michael Gromiha, Shinn-Ying Ho: iPTREE-STAB: interpretable decision tree based method for predicting protein stability changes upon mutations. Bioinformatics 23(10): 1292-1293 (2007)
- [j30]Manish Kumar, M. Michael Gromiha, Gajendra P. S. Raghava: Identification of DNA-binding proteins using support vector machines and evolutionary profiles. BMC Bioinformatics 8 (2007)
- [j29]Y.-h. Taguchi, M. Michael Gromiha: Application of amino acid occurrence for discriminating different folding types of globular proteins. BMC Bioinformatics 8 (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 Research 35(Database-Issue): 314-316 (2007)
- [c3]Y.-h. 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. Computational Biology and Chemistry 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. Journal of Chemical Information and Modeling 46(3): 1503-1508 (2006)
- [j25]M. D. Shaji Kumar, M. Michael Gromiha: PINT: Protein-protein Interactions Thermodynamic Database. Nucleic Acids Research 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 Research 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 Research 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 Research 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. Bioinformatics 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. Bioinformatics 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. Computational Biology and Chemistry 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. Computational Biology and Chemistry 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. Bioinformatics and Computational Biology 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. Journal of Chemical Information and Modeling 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 Research 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 Research 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. Bioinformatics 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 Bioinformatics 5: 51 (2004)
- [j11]M. Michael Gromiha, Shandar Ahmad, Makiko Suwa: Neural network-based prediction of transmembrane -strand segments in outer membrane proteins. Journal of Computational Chemistry 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 Research 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. Bioinformatics 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. Journal of Computational Chemistry 24(11): 1313-1320 (2003)
- [j7]M. Michael Gromiha: Importance of Native-State Topology for Determining the Folding Rate of Two-State Proteins. Journal of Chemical Information and Computer Sciences 43(5): 1481-1485 (2003)
- 2002
- [j6]Shandar Ahmad, M. Michael Gromiha: NETASA: neural network based prediction of solvent accessibility. Bioinformatics 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 Research 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). Bioinformatics 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. Journal of Computational Chemistry 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 Research 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 Research 27(1): 286-288 (1999)
Coauthor Index
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last updated on 2013-10-02 11:22 CEST by the dblp team