Detailed Information on Publication Record
2015
Path-planning algorithm for transportation of molecules through protein tunnel bottlenecks
BYŠKA, Jan, Ivana KOLINGEROVÁ, Barbora KOZLÍKOVÁ and Jiří SOCHORBasic information
Original name
Path-planning algorithm for transportation of molecules through protein tunnel bottlenecks
Authors
BYŠKA, Jan (203 Czech Republic, belonging to the institution), Ivana KOLINGEROVÁ (203 Czech Republic), Barbora KOZLÍKOVÁ (203 Czech Republic, belonging to the institution) and Jiří SOCHOR (203 Czech Republic, guarantor, belonging to the institution)
Edition
Bratislava, Slovakia, 31st Proceedings of Spring Conference on Computer Graphics, p. 81-88, 8 pp. 2015
Publisher
ACM
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Slovakia
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
RIV identification code
RIV/00216224:14330/15:00080779
Organization unit
Faculty of Informatics
ISBN
978-1-4503-3693-2
UT WoS
000380609300011
Keywords in English
Path planning;protein;tunnel;approximation
Tags
International impact, Reviewed
Změněno: 1/4/2021 12:09, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
We present a simple and fast path planning algorithm for transportation of a set of tightly connected sphere objects (a small molecule) through a narrow gap. In our approach we are using common sampling-based path planning, however, instead of sampling the entire configuration space, we estimate which subsets of this space must be crossed on the desired path. In comparison with other methods using minimal bounding volumes, we improve the algorithm accuracy for arbitrary shaped molecules and significantly reduce the number of generated samples as well as time cost of path planning. We have accomplished a number of tests on scenes formed by proteins and ligand molecules. The results suggest that the proposed method works well in practice and the number of generated samples is substantially lower then the proved upper bound.
Links
GAP202/10/1435, research and development project |
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LC06008, research and development project |
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MUNI/A/1206/2014, interní kód MU |
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