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M. Michael Gromiha :
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Akinori Sarai , Samuel Selvaraj , M. Michael Gromiha , Hidetoshi Kono Structure-Function Relationship in DNA Sequence Recognition by Transcription Factors. [Citation Graph (0, 0)][DBLP ] APBC, 2004, pp:233-238 [Conf ] Shandar Ahmad , M. Michael Gromiha NETASA: neural network based prediction of solvent accessibility. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2002, v:18, n:6, pp:819-824 [Journal ] Shandar Ahmad , M. Michael Gromiha , Akinori Sarai RVP-net: online prediction of real valued accessible surface area of proteins from single sequences. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2003, v:19, n:14, pp:1849-1851 [Journal ] 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. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2004, v:20, n:4, pp:- [Journal ] M. Michael Gromiha , Makiko Suwa A simple statistical method for discriminating outer membrane proteins with better accuracy. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2005, v:21, n:7, pp:961-968 [Journal ] Keun-Joon Park , M. Michael Gromiha , Paul Horton , Makiko Suwa Discrimination of outer membrane proteins using support vector machines. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2005, v:21, n:23, pp:4223-4229 [Journal ] Ponraj Prabakaran , Jianghong An , M. Michael Gromiha , Samuel Selvaraj , Hatsuho Uedaira , Hidetoshi Kono , Akinori Sarai Thermodynamic database for protein-nucleic acid interactions (ProNIT). [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2001, v:17, n:11, pp:1027-1034 [Journal ] Shandar Ahmad , M. Michael Gromiha , Hamed Fawareh , Akinori Sarai ASAView : Database and tool for solvent accessibility representation in proteins. [Citation Graph (0, 0)][DBLP ] BMC Bioinformatics, 2004, v:5, n:, pp:51- [Journal ] M. Michael Gromiha , Shandar Ahmad , Makiko Suwa Application of residue distribution along the sequence for discriminating outer membrane proteins. [Citation Graph (0, 0)][DBLP ] Computational Biology and Chemistry, 2005, v:29, n:2, pp:135-142 [Journal ] 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. [Citation Graph (0, 0)][DBLP ] Computational Biology and Chemistry, 2005, v:29, n:1, pp:25-35 [Journal ] Liang-Tsung Huang , M. Michael Gromiha , Shiow-Fen Hwang , Shinn-Ying Ho Knowledge acquisition and development of accurate rules for predicting protein stability changes. [Citation Graph (0, 0)][DBLP ] Computational Biology and Chemistry, 2006, v:30, n:6, pp:408-415 [Journal ] Akinori Sarai , Jorg Siebers , Samuel Selvaraj , M. Michael Gromiha , Hidetoshi Kono Integration of Bioinformatics and Computational Biology to Understand Protein-dna Recognition Mechanism. [Citation Graph (0, 0)][DBLP ] J. Bioinformatics and Computational Biology, 2005, v:3, n:1, pp:169-183 [Journal ] Shandar Ahmad , M. Michael Gromiha Design and training of a neural network for predicting the solvent accessibility of proteins. [Citation Graph (0, 0)][DBLP ] Journal of Computational Chemistry, 2003, v:24, n:11, pp:1313-1320 [Journal ] M. Michael Gromiha , Shandar Ahmad , Makiko Suwa Neural network-based prediction of transmembrane -strand segments in outer membrane proteins. [Citation Graph (0, 0)][DBLP ] Journal of Computational Chemistry, 2004, v:25, n:5, pp:762-767 [Journal ] Kenji Sayano , Hidetoshi Kono , M. Michael Gromiha , Akinori Sarai Multicanonical Monte Carlo calculation of the free-energy map of the base-amino acid interaction. [Citation Graph (0, 0)][DBLP ] Journal of Computational Chemistry, 2000, v:21, n:11, pp:954-962 [Journal ] M. Michael Gromiha Importance of Native-State Topology for Determining the Folding Rate of Two-State Proteins. [Citation Graph (0, 0)][DBLP ] Journal of Chemical Information and Computer Sciences, 2003, v:43, n:5, pp:1481-1485 [Journal ] M. Michael Gromiha A Statistical Model for Predicting Protein Folding Rates from Amino Acid Sequence with Structural Class Information. [Citation Graph (0, 0)][DBLP ] Journal of Chemical Information and Modeling, 2005, v:45, n:2, pp:494-501 [Journal ] M. Michael Gromiha , Samuel Selvaraj , A. Mary Thangakani A Statistical Method for Predicting Protein Unfolding Rates from Amino Acid Sequence. [Citation Graph (0, 0)][DBLP ] Journal of Chemical Information and Modeling, 2006, v:46, n:3, pp:1503-1508 [Journal ] K. Abdulla Bava , M. Michael Gromiha , Hatsuho Uedaira , Koji Kitajima , Akinori Sarai ProTherm, version 4.0: thermodynamic database for proteins and mutants. [Citation Graph (0, 0)][DBLP ] Nucleic Acids Research, 2004, v:32, n:Database-Issue, pp:120-121 [Journal ] 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. [Citation Graph (0, 0)][DBLP ] Nucleic Acids Research, 2000, v:28, n:1, pp:283-285 [Journal ] M. Michael Gromiha , Jianghong An , Hidetoshi Kono , Motohisa Oobatake , Hatsuho Uedaira , Akinori Sarai ProTherm: Thermodynamic Database for Proteins and Mutants. [Citation Graph (0, 0)][DBLP ] Nucleic Acids Research, 1999, v:27, n:1, pp:286-288 [Journal ] 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. [Citation Graph (0, 0)][DBLP ] Nucleic Acids Research, 2002, v:30, n:1, pp:301-302 [Journal ] M. Michael Gromiha , Shandar Ahmad , Makiko Suwa TMBETA-NET: discrimination and prediction of membrane spanning ß-strands in outer membrane proteins. [Citation Graph (0, 0)][DBLP ] Nucleic Acids Research, 2005, v:33, n:Web-Server-Issue, pp:164-167 [Journal ] Csaba Magyar , M. Michael Gromiha , Gerard Pujadas , Gábor E. Tusnády , István Simon SRide: a server for identifying stabilizing residues in proteins. [Citation Graph (0, 0)][DBLP ] Nucleic Acids Research, 2005, v:33, n:Web-Server-Issue, pp:303-305 [Journal ] M. D. Shaji Kumar , M. Michael Gromiha PINT: Protein-protein Interactions Thermodynamic Database. [Citation Graph (0, 0)][DBLP ] Nucleic Acids Research, 2006, v:34, n:Database-Issue, pp:195-198 [Journal ] 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. [Citation Graph (0, 0)][DBLP ] Nucleic Acids Research, 2006, v:34, n:Database-Issue, pp:204-206 [Journal ] Vijaya Parthiban , M. Michael Gromiha , Dietmar Schomburg CUPSAT: prediction of protein stability upon point mutations. [Citation Graph (0, 0)][DBLP ] Nucleic Acids Research, 2006, v:34, n:Web-Server-Issue, pp:239-242 [Journal ] M. Michael Gromiha , A. Mary Thangakani , Samuel Selvaraj FOLD-RATE: prediction of protein folding rates from amino acid sequence. [Citation Graph (0, 0)][DBLP ] Nucleic Acids Research, 2006, v:34, n:Web-Server-Issue, pp:70-74 [Journal ] M. Michael Gromiha , Yukimitsu Yabuki , Srinesh Kundu , Sivasundaram Suharnan , Makiko Suwa TMBETA-GENOME: database for annotated ß-barrel membrane proteins in genomic sequences. [Citation Graph (0, 0)][DBLP ] Nucleic Acids Research, 2007, v:35, n:Database-Issue, pp:314-316 [Journal ] Y.-h. Taguchi , M. Michael Gromiha Protein Fold Recognition Based Upon the Amino Acid Occurrence. [Citation Graph (0, 0)][DBLP ] PRIB, 2007, pp:120-131 [Conf ] M. Michael Gromiha Bioinformatics on beta-Barrel Membrane Proteins: Sequence and Structural Analysis, Discrimination and Prediction. [Citation Graph (0, 0)][DBLP ] PRIB, 2007, pp:148-157 [Conf ] Liang-Tsung Huang , M. Michael Gromiha , Shinn-Ying Ho iPTREE-STAB: interpretable decision tree based method for predicting protein stability changes upon mutations. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2007, v:23, n:10, pp:1292-1293 [Journal ] Identification and Analysis of Binding Site Residues in Protein Complexes: Energy Based Approach. [Citation Graph (, )][DBLP ] Topology Prediction of alpha -Helical and beta -Barrel Transmembrane Proteins Using RBF Networks. [Citation Graph (, )][DBLP ] Neural network based prediction of protein structure and Function: Comparison with other machine learning methods. [Citation Graph (, )][DBLP ] Gene Ontology term prediction based upon amino acid occurrence. [Citation Graph (, )][DBLP ] Sequence Based Prediction of Protein Mutant Stability and Discrimination of Thermophilic Proteins. [Citation Graph (, )][DBLP ] Reliable prediction of protein thermostability change upon double mutation from amino acid sequence. [Citation Graph (, )][DBLP ] Application of amino acid occurrence for discriminating different folding types of globular proteins. [Citation Graph (, )][DBLP ] Functional discrimination of membrane proteins using machine learning techniques. [Citation Graph (, )][DBLP ] TMBETADISC-RBF: Discrimination of beta-barrel membrane proteins using RBF networks and PSSM profiles. [Citation Graph (, )][DBLP ] Search in 0.003secs, Finished in 0.303secs