2020
Visual exploration of large normal mode spaces to study protein flexibility
BEDOUCHA, Pierre; Reuter NATHALIE; Helwig HAUSER a Jan BYŠKAZákladní údaje
Originální název
Visual exploration of large normal mode spaces to study protein flexibility
Vydání
Computers & Graphics, Netherlands, Elsevier Science Direct, 2020, 0097-8493
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10200 1.2 Computer and information sciences
Stát vydavatele
Nizozemské království
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 1.936
Kód RIV
RIV/00216224:14330/20:00116311
Organizační jednotka
Fakulta informatiky
UT WoS
000558004700010
EID Scopus
2-s2.0-85085769658
Klíčová slova anglicky
Normal mode analysisProtein flexibilityMolecular visualizationCoordinated and multiple views
Změněno: 4. 9. 2020 17:29, RNDr. Jan Byška, Ph.D.
Anotace
V originále
When studying the function of proteins, biochemists utilize normal mode decomposition to enable the analysis of structural changes on time scales that are too long for molecular dynamics simulation. Such a decomposition yields a high-dimensional parameter space that is too large to be analyzed exhaustively. We present a novel approach to reducing and exploring this vast space through the means of interactive visualization. Our approach enables the inference of relevant protein function from single structure dynamics through protein tunnel analysis while considering normal mode combinations spanning the whole normal modes space. Our solution, based on multiple linked 2D and 3D views, enables the quick and flexible exploration of individual modes and their effect on the dynamics of tunnels with relevance for the protein function. Once an interesting motion is identified, the exploration of possible normal mode combinations is steered via a visualization-based recommendation system. This helps to quickly identify a narrow, yet relevant set of normal modes that can be investigated in detail. Our solution is the result of close cooperation between visualization and the domain. The versatility and efficiency of our approach are demonstrated in several case studies.