J 2020

Visual exploration of large normal mode spaces to study protein flexibility

BEDOUCHA, Pierre; Reuter NATHALIE; Helwig HAUSER a Jan BYŠKA

Základní údaje

Originální název

Visual exploration of large normal mode spaces to study protein flexibility

Autoři

BEDOUCHA, Pierre; Reuter NATHALIE; Helwig HAUSER a Jan BYŠKA ORCID

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.