M. Michael Gromiha

2008
37	EE	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
36	EE	Y.-h. Taguchi, M. Michael Gromiha: Gene Ontology term prediction based upon amino acid occurrence. IJCNN 2008: 615-620
35	EE	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
34	EE	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)
33	EE	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)
2007
32	EE	Y.-h. Taguchi, M. Michael Gromiha: Protein Fold Recognition Based Upon the Amino Acid Occurrence. PRIB 2007: 120-131
31	EE	M. Michael Gromiha: Bioinformatics on beta-Barrel Membrane Proteins: Sequence and Structural Analysis, Discrimination and Prediction. PRIB 2007: 148-157
30	EE	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)
29	EE	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)
2006
28	EE	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)
27	EE	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)
26	EE	M. D. Shaji Kumar, M. Michael Gromiha: PINT: Protein-protein Interactions Thermodynamic Database. Nucleic Acids Research 34(Database-Issue): 195-198 (2006)
25	EE	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)
24	EE	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)
23	EE	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)
2005
22	EE	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)
21	EE	M. Michael Gromiha, Makiko Suwa: A simple statistical method for discriminating outer membrane proteins with better accuracy. Bioinformatics 21(7): 961-968 (2005)
20	EE	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)
19	EE	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)
18	EE	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)
17	EE	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)
16	EE	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)
15	EE	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
14	EE	Akinori Sarai, Samuel Selvaraj, M. Michael Gromiha, Hidetoshi Kono: Structure-Function Relationship in DNA Sequence Recognition by Transcription Factors. APBC 2004: 233-238
13	EE	Shandar Ahmad, M. Michael Gromiha, Hamed Fawareh, Akinori Sarai: ASAView: Database and tool for solvent accessibility representation in proteins. BMC Bioinformatics 5: 51 (2004)
12	EE	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): (2004)
11	EE	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)
10		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)
2003
9		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)
8	EE	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)
7	EE	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)
2002
6		Shandar Ahmad, M. Michael Gromiha: NETASA: neural network based prediction of solvent accessibility. Bioinformatics 18(6): 819-824 (2002)
5		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
4		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
3	EE	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)
2		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)
1999
1		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

1	Shandar Ahmad	[6] [7] [9] [11] [12] [13] [16] [19] [37]
2	Jianghong An	[1] [2] [4] [5]
3	K. Abdulla Bava	[10] [25]
4	Shu-An Chen	[34]
5	Hamed Fawareh	[13]
6	Shinn-Ying Ho	[28] [30]
7	Paul Horton	[22]
8	Liang-Tsung Huang	[28] [30] [33] [35]
9	Shiow-Fen Hwang	[28]
10	Koji Kitajima	[10] [25]
11	Hidetoshi Kono	[1] [2] [3] [4] [14] [18]
12	M. D. Shaji Kumar	[25] [26]
13	Srinesh Kundu	[29]
14	Lien Fu Lai	[35]
15	Csaba Magyar	[15]
16	Motohisa Oobatake	[1] [2]
17	Yu-Yen Ou	[34]
18	Keun-Joon Park	[22]
19	Vijaya Parthiban	[24]
20	Mon Nanjappa Ponnuswamy	[20]
21	Ponraj Prabakaran	[2] [4] [5] [25]
22	Gerard Pujadas	[15]
23	K. Saraboji	[20]
24	Akinori Sarai	[1] [2] [3] [4] [5] [9] [10] [12] [13] [14] [18] [25]
25	Kenji Sayano	[3]
26	Dietmar Schomburg	[24]
27	Samuel Selvaraj	[4] [5] [14] [18] [23] [27]
28	Jorg Siebers	[18]
29	István Simon	[15]
30	Sivasundaram Suharnan	[29]
31	Makiko Suwa	[11] [16] [19] [21] [22] [29] [34] [37]
32	Y.-h. Taguchi	[32] [36]
33	A. Mary Thangakani	[23] [27]
34	Gábor E. Tusnády	[15]
35	Hatsuho Uedaira	[1] [2] [4] [5] [10] [25]
36	Yukimitsu Yabuki	[29]

Colors in the list of coauthors