MOTIVATION: Recent studies have found many proteins containing regions that do not form well-defined three-dimensional structures in their native states. The study and detection of such disordered regions is important both for understanding protein function and for facilitating structural analysis since disordered regions may affect solubility and/or crystallizability. RESULTS: We have developed the regional order neural network (RONN) software as an application of our recently developed 'bio-basis function neural network' pattern recognition algorithm to the detection of natively disordered regions in proteins. The results of blind-testing a panel of nine disorder prediction tools (including RONN) against 80 protein sequences derived from the Protein Data Bank shows that, based on the probability excess measure, RONN performed the best.
MOTIVATION: Recent studies have found many proteins containing regions that do not form well-defined three-dimensional structures in their native states. The study and detection of such disordered regions is important both for understanding protein function and for facilitating structural analysis since disordered regions may affect solubility and/or crystallizability. RESULTS: We have developed the regional order neural network (RONN) software as an application of our recently developed 'bio-basis function neural network' pattern recognition algorithm to the detection of natively disordered regions in proteins. The results of blind-testing a panel of nine disorder prediction tools (including RONN) against 80 protein sequences derived from the Protein Data Bank shows that, based on the probability excess measure, RONN performed the best.
Authors: Yugong Cheng; Christopher J Oldfield; Jingwei Meng; Pedro Romero; Vladimir N Uversky; A Keith Dunker Journal: Biochemistry Date: 2007-11-01 Impact factor: 3.162
Authors: Susanne Gräslund; Pär Nordlund; Johan Weigelt; B Martin Hallberg; James Bray; Opher Gileadi; Stefan Knapp; Udo Oppermann; Cheryl Arrowsmith; Raymond Hui; Jinrong Ming; Sirano dhe-Paganon; Hee-won Park; Alexei Savchenko; Adelinda Yee; Aled Edwards; Renaud Vincentelli; Christian Cambillau; Rosalind Kim; Sung-Hou Kim; Zihe Rao; Yunyu Shi; Thomas C Terwilliger; Chang-Yub Kim; Li-Wei Hung; Geoffrey S Waldo; Yoav Peleg; Shira Albeck; Tamar Unger; Orly Dym; Jaime Prilusky; Joel L Sussman; Ray C Stevens; Scott A Lesley; Ian A Wilson; Andrzej Joachimiak; Frank Collart; Irina Dementieva; Mark I Donnelly; William H Eschenfeldt; Youngchang Kim; Lucy Stols; Ruying Wu; Min Zhou; Stephen K Burley; J Spencer Emtage; J Michael Sauder; Devon Thompson; Kevin Bain; John Luz; Tarun Gheyi; Fred Zhang; Shane Atwell; Steven C Almo; Jeffrey B Bonanno; Andras Fiser; Sivasubramanian Swaminathan; F William Studier; Mark R Chance; Andrej Sali; Thomas B Acton; Rong Xiao; Li Zhao; Li Chung Ma; John F Hunt; Liang Tong; Kellie Cunningham; Masayori Inouye; Stephen Anderson; Heleema Janjua; Ritu Shastry; Chi Kent Ho; Dongyan Wang; Huang Wang; Mei Jiang; Gaetano T Montelione; David I Stuart; Raymond J Owens; Susan Daenke; Anja Schütz; Udo Heinemann; Shigeyuki Yokoyama; Konrad Büssow; Kristin C Gunsalus Journal: Nat Methods Date: 2008-02 Impact factor: 28.547
Authors: Nathalie Selevsek; Sandrine Rival; Andreas Tholey; Elmar Heinzle; Uwe Heinz; Lars Hemmingsen; Hans W Adolph Journal: J Biol Chem Date: 2009-04-24 Impact factor: 5.157
Authors: Daniel A Bonsor; Qing Zhao; Barbara Schmidinger; Evelyn Weiss; Jingheng Wang; Daniel Deredge; Robert Beadenkopf; Blaine Dow; Wolfgang Fischer; Dorothy Beckett; Patrick L Wintrode; Rainer Haas; Eric J Sundberg Journal: EMBO J Date: 2018-05-03 Impact factor: 11.598