Interactive motif and fold recognition in protein structures

被引:35
|
作者
Madsen, D [1 ]
Kleywegt, GJ [1 ]
机构
[1] Uppsala Univ, Dept Cell & Mol Biol, Biomed Ctr, SE-75124 Uppsala, Sweden
关键词
D O I
10.1107/S0021889802000602
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Two previously developed software tools for pattern recognition in protein structures at the level of the fold (DEJAVU) and at the level of assemblies of individual residues (SPASM) have been improved in order to increase their specificity significantly. In addition, web-servers have been developed for both tools thereby greatly enhancing the ease with which even non-experts can employ them.
引用
收藏
页码:137 / 139
页数:3
相关论文
共 50 条
  • [41] Subsequence Profile Map for Protein Fold Recognition
    Halepmollasi, Rusen
    Bilgen, Ismail
    Sarac, Omer Sinan
    2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU), 2016, : 2033 - 2036
  • [42] A weighted string kernel for protein fold recognition
    Saghi Nojoomi
    Patrice Koehl
    BMC Bioinformatics, 18
  • [43] Improving protein fold recognition by random forest
    Jo, Taeho
    Cheng, Jianlin
    BMC BIOINFORMATICS, 2014, 15
  • [44] LRRs: A platform to build a Protein Recognition Motif
    Garrett, Tom
    Huyton, Trevor
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2005, 61 : C252 - C252
  • [45] TOWARDS PROTEIN TERTIARY FOLD PREDICTION USING DISTANCE AND MOTIF CONSTRAINTS
    TAYLOR, WR
    PROTEIN ENGINEERING, 1991, 4 (08): : 853 - 870
  • [46] ` PROTEIN STRUCTURES: THEIR VALIDATION FOLD CLASSIFICATION AND INTERACTIONS
    Thornton, Janet M.
    Hutchinson, E. G.
    Jones, S.
    Laskowski, R. A.
    MacArthur, M. W.
    Michie, A.
    Orengo, C. M.
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 1996, 52 : C6 - C6
  • [47] FORESST: Fold recognition from secondary structure. A web-based protein fold recognition system
    McQueen, PG
    di Francesco, V
    Garnier, J
    Munson, PJ
    BIOPHYSICAL JOURNAL, 2000, 78 (01) : 334A - 334A
  • [48] FoldHSphere: deep hyperspherical embeddings for protein fold recognition
    Villegas-Morcillo, Amelia
    Sanchez, Victoria
    Gomez, Angel M.
    BMC BIOINFORMATICS, 2021, 22 (01)
  • [49] Enhanced protein fold recognition using a structural alphabet
    Deschavanne, Patrick
    Tuffery, Pierre
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2009, 76 (01) : 129 - 137
  • [50] Protein fold recognition based on functional domain composition
    Wang, Qin
    Yan, Jinli
    Li, Xiaoqin
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2014, 48 : 71 - 76