Biomolecules' Conformational Changes Studied by Simulations and Enhanced Sampling - Couverture rigide

Pang, Yui Tik (Andrew)

Couverture rigide

ISBN 10 : 3031706013 ISBN 13 : 9783031706011

Editeur : Springer International Publishing AG, 2024

Synopsis

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 events―a 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.

A propos du livre

À propos de l'auteur

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. Andrew's 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.

Détails de l'édition

• Éditeur: Springer International Publishing AG
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 3031706013
• ISBN 13: 9783031706011
• Reliure: Relié
• Nombre de pages: 111
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