• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 15 matches

• 2015
• 
  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)
• 2009
• 
  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
• 
  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)
• 
  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
• 2007
• 
  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)
• 
  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)
• 2006
• 
  Hideki Nagasaki, Masanori Arita, Tatsuya Nishizawa, Makiko Suwa, Osamu Gotoh:
  Automated classification of alternative splicing and transcriptional initiation and construction of visual database of classified patterns. Bioinform. 22(10): 1211-1216 (2006)
• 2005
• 
  M. Michael Gromiha, Makiko Suwa:
  A simple statistical method for discriminating outer membrane proteins with better accuracy. Bioinform. 21(7): 961-968 (2005)
• 
  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)
• 
  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)
• 
  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)
• 
  Yukimitsu Yabuki, Takahiko Muramatsu, Takatsugu Hirokawa, Hidehito Mukai, Makiko Suwa:
  GRIFFIN: a system for predicting GPCR-G-protein coupling selectivity using a support vector machine and a hidden Markov model. Nucleic Acids Res. 33(Web-Server-Issue): 148-153 (2005)
• 2004
• 
  Yukimitsu Yabuki, Yuri Mukai, Mark B. Swindells, Makiko Suwa:
  GENIUS II: a high-throughput database system for linking ORFs in complete genomes to known protein three-dimensional structures. Bioinform. 20(4): 596-598 (2004)
• 
  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)
• 2001
• 
  Henrik T. Yudate, Makiko Suwa, Ryotaro Irie, Hiroshi Matsui, Tetsuo Nishikawa, Yoshitaka Nakamura, Daisuke Yamaguchi, Zhang Zhi Peng, Tomoyuki Yamamoto, Keiichi Nagai, Koji Hayashi, Tetsuji Otsuki, Tomoyasu Sugiyama, Toshio Ota, Yutaka Suzuki, Sumio Sugano, Takao Isogai, Yasuhiko Masuho:
  HUNT: launch of a full-length cDNA database from the Helix Research Institute. Nucleic Acids Res. 29(1): 185-188 (2001)