Biomolecules‘ Conformational Changes Studied by Simulations and Enhanced Sampling

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149,79 

Springer Theses

ISBN: 3031706013
ISBN 13: 9783031706011
Autor: Pang, Yui Tik (Andrew)
Verlag: Springer Verlag GmbH
Umfang: xiv, 97 S., 2 s/w Illustr., 36 farbige Illustr., 97 p. 38 illus., 36 illus. in color.
Erscheinungsdatum: 27.09.2024
Auflage: 1/2024
Produktform: Gebunden/Hardback
Einband: Gebunden
Artikelnummer: 4061496 Kategorie:

Beschreibung

This thesis illuminates the critical roles biomolecules, from small molecules to proteins, play in cellular functionality, particularly highlighting their conformational changes in response to environmental cues or binding eventsa cornerstone concept in drug design as well as the manifestations of disease. It explores the conformational flexibility of small molecules and proteins, essential for predicting drug interactions and understanding biological processes. Through advanced molecular dynamics simulations and enhanced sampling techniques, this research offers unprecedented insights into the structural dynamics of three distinct biomolecular systems: the capsid assembly modulator AT130, the passenger domain of pertactin, and the SARS-CoV-2 spike protein. Each system represents a unique facet of biological complexity, underscoring the thesis's contribution to our understanding of biomolecular behavior across various scales. Furthermore, the thesis advances the field by updating the Force Field Toolkit for improved simulation accuracy. This work not only showcases the adaptability and importance of simulation techniques in modern biological research but also paves the way for novel therapeutic strategies by deepening our understanding of biomolecular dynamics.

Autorenporträt

Yui Tik (Andrew) Pang was born in Hong Kong and received the degrees of Bachelor of Science in Physics and Master of Philosophy in Physics from the Chinese University of Hong Kong in 2012 and 2015, respectively. Andrews primary research interest lies in the field of Biophysics. However, his academic curiosity extends beyond this, as he also possesses a robust interest in Computer Science and Parallel Computing. His diverse interests allow him to approach his research from a unique interdisciplinary perspective, combining the principles of Physics and Computer Science to explore and solve complex biological problems. His latest endeavor involves integrating deep learning techniques with molecular mechanics calculations to predict novel protein conformations.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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