Motion planning algorithms for molecular simulations: A survey

被引:60
|
作者
Al-Bluwi, Ibrahim
Simeon, Thierry
Cortes, Juan [1 ]
机构
[1] CNRS, LAAS, 7 Ave Colonel Roche, F-31400 Toulouse, France
关键词
Motion planning; Sampling-based algorithms; Molecular simulations; Protein flexibility; Protein folding; Protein-ligand interactions;
D O I
10.1016/j.cosrev.2012.07.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Motion planning is a fundamental problem in robotics that has motivated research since more than three decades ago. A large variety of algorithms have been proposed to compute feasible motions of multi-body systems in constrained workspaces. In recent years, some of these algorithms have surpassed the frontiers of robotics, finding applications in other domains such as industrial manufacturing, computer animation and computational structural biology. This paper concerns the latter domain, providing a survey on motion planning algorithms applied to molecular modeling and simulation. Both the algorithmic and application sides are discussed, as well as the different issues to be taken into consideration when extending robot motion planning algorithms to deal with molecules. From an algorithmic perspective, the paper gives a general overview of the different extensions to sampling-based motion planners. From the point of view of applications, the survey deals with problems involving protein folding and conformational transitions, as well as protein-ligand interactions. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:125 / 143
页数:19
相关论文
共 50 条
  • [1] A SURVEY OF MOTION PLANNING AND RELATED GEOMETRIC ALGORITHMS
    SCHWARTZ, JT
    SHARIR, M
    ARTIFICIAL INTELLIGENCE, 1988, 37 (1-3) : 157 - 169
  • [2] A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance
    C. Goerzen
    Z. Kong
    B. Mettler
    Journal of Intelligent and Robotic Systems, 2010, 57 : 65 - 100
  • [3] A Survey of Motion Planning Algorithms Based on Fast Searching Random Tree
    Chengyi, Zhang
    Shuwen, Dang
    Yong, Chen
    2021 THE 7TH INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION PROCESSING, ICCIP 2021, 2021, : 4 - 8
  • [4] A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance
    Goerzen, C.
    Kong, Z.
    Mettler, B.
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2010, 57 (1-4) : 65 - 100
  • [5] EXACT ALGORITHMS FOR MOTION PLANNING
    BEER, E
    LE, NM
    ROBOTERSYSTEME, 1990, 6 (04): : 193 - 201
  • [6] A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
    Ye, Fei
    Zhang, Shen
    Wang, Pin
    Chan, Ching-Yao
    2021 32ND IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2021, : 1073 - 1080
  • [7] A survey on population-based meta-heuristic algorithms for motion planning of aircraft
    Wu, Yu
    SWARM AND EVOLUTIONARY COMPUTATION, 2021, 62
  • [8] GROSS MOTION PLANNING - A SURVEY
    HWANG, YK
    AHUJA, N
    COMPUTING SURVEYS, 1992, 24 (03) : 219 - 291
  • [9] INTRODUCTION TO ALGORITHMS FOR MOLECULAR SIMULATIONS
    Kramar, Martin
    PROGRAMS AND ALGORITHMS OF NUMERICAL MATHEMATICS 15, 2010, : 119 - 124
  • [10] Survey of optimal motion planning
    Yang, Yajue
    Pan, Jia
    Wan, Weiwei
    IET CYBER-SYSTEMS AND ROBOTICS, 2019, 1 (01) : 13 - 19