Ligand binding with OBPRM and user input

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 1, Issue , 2001, Pages 954-959

  Bayazit, O B ^a   Song, G ^a   Amato, N M ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; PROBABILISTIC LOGICS; PROTEINS; ROBOTICS;

LIGAND BINDING;

MOTION PLANNING;

EID: 0034868624     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. OBPRM: An obstacle-based PRM for 3D workspaces
2. Enhancing randomized motion planners: Exploring with haptic hints
3. On finding narrow passages with probabilistic roadmap planners
4. Molecular surface recognition: Determination of geometric fit between proteins and their ligands by correlation techniques
5. Structure-based strategies for drug design and discovery
6. Smd: Virtual steering of molecular dynamics for protein design
7. Stalk: An interactive system for virtual molecular docking
8. Protein folding by restrained energy minimization and molecular dynamics
9. The PHANToM haptic interface: A device for probing virtual objects
10. Automated docking using a lamarckian genetic algorithm and empirical binding free energy function
11. Force display performs better than visual display in a simple 6-d docking task
12. Virtual reality for materials design
13. Computer graphics in real time docking with energy calculation and minimization
14. A fast flexible docking method using an incremental construction algorithm
15. A motion planning approach to flexible ligand binding
16. A motion planning approach to folding: From paper craft to protein folding
17. Using motion planning to study protein folding pathways
18. Sculpting proteins interactively: Continual energy minimization embedded in a graphical modeling system
19. Derivation of sensitive discrimination potential for virtual ligand screening
20. Haptically enhanced molecular modeling: A case study