New Docking Algorithm Based on Fuzzy Set Theory

被引:0
|
作者
Thomas E. Exner
Jürgen Brickmann
机构
[1] Department of Physical Chemistry,
[2] Darmstadt University of Technology,undefined
[3] D-64287 Darmstadt,undefined
[4] Germany (brick@pc.chemie.th-darmstadt.de),undefined
[5] Darmstadt Center of Scientific Computing,undefined
[6] D-64287 Darmstadt,undefined
[7] Germany,undefined
来源
关键词
Keywords: Protein-protein-docking; Shape complementarity; Fuzzy Set Theory;
D O I
暂无
中图分类号
学科分类号
摘要
A new docking algorithm based on shape complementarity is presented. The algorithm is based on Fuzzy Logic strategies. A small number of possible docking configurations is selected using partial ordering of a fuzzy measure of topographical properties between complementary surface patches. The algorithm was tested with the structures of three protein-protein-complexes of serin proteases. In one case the components determined separately by x-ray investigations whereas in the other cases the components obtained from the known complex structure were used.
引用
收藏
页码:321 / 324
页数:3
相关论文
共 50 条
  • [1] New docking algorithm based on Fuzzy Set Theory
    Exner, TE
    Brickmann, J
    JOURNAL OF MOLECULAR MODELING, 1997, 3 (08) : 321 - 324
  • [2] A NEW UNSUPERVISED CLASSIFICATION ALGORITHM FOR POLARIMETRIC SAR IMAGES BASED ON FUZZY SET THEORY
    Fu Yusheng Xie Yan Pi Yiming Hou Yinming College of Electro Eng Univ of Electro Sci And Tech of China Chengdu China
    Journal of Electronics, 2006, (04) : 598 - 601
  • [3] A NEW UNSUPERVISED CLASSIFICATION ALGORITHM FOR POLARIMETRIC SAR IMAGES BASED ON FUZZY SET THEORY
    Fu Yusheng Xie Yan Pi Yiming Hou Yinming (College of Electro. Eng
    Journal of Electronics(China), 2006, (04) : 598 - 601
  • [4] A NEW ALGORITHM FOR APPLYING FUZZY SET THEORY TO THE FACILITY SITE SELECTION
    Lee, Huey-Ming
    Lin, Lily
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2009, 5 (12B): : 4953 - 4960
  • [5] Improved Fast Image Enhancement Algorithm Based on Fuzzy Set Theory
    Jia, Wei
    Yang, Jinyuan
    Liu, Yanbin
    Fan, Lilue
    Ruan, Qingqiang
    2014 SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL 2, 2014, : 173 - 175
  • [6] Research of enhancement algorithm for infrared image based on the fuzzy set theory
    Wang, Kun
    3RD INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY, ENVIRONMENT AND CHEMICAL ENGINEERING, 2017, 69
  • [7] Selection of Suppliers Based on Rough Set Theory and Fuzzy TOPSIS Algorithm
    Fan, Zhiping
    Hong, Tiansheng
    Liu, Zhizhuang
    2008 IEEE INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING WORKSHOP PROCEEDINGS, VOLS 1 AND 2, 2008, : 979 - +
  • [8] A new TF algorithm based on fuzzy control theory
    Wang, J
    Wang, JX
    Shen, CL
    Song, LM
    PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5, 2000, : 1620 - 1623
  • [9] Research on the Novel Weighted Fuzzy Clustering Algorithm based on Fuzzy Sets and Rough Set Theory
    Chen, Liwei
    PROCEEDINGS OF THE 2015 CONFERENCE ON INFORMATIZATION IN EDUCATION, MANAGEMENT AND BUSINESS, 2015, 20 : 7 - 11
  • [10] Sample Normalization Algorithm of Neural Network Based on Fuzzy Rough Set Theory
    Pang Qingle
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 1931 - 1935