LARMD: Integration of Bioinformatic Resources to Profile Ligand-D | 59393
Organic Chemistry: Current Research

Organic Chemistry: Current Research
Open Access

ISSN: 2161-0401

+44 7868 792050

LARMD: Integration of Bioinformatic Resources to Profile Ligand-Driven Protein Dynamics with a Case on the Activation of Estrogen Receptor

Joint Meet on Euro Chemistry 2021 & Natural Products 2021 & Pharmaceutical Sciences 2021

June 21-22, 2021 | WEBINAR

Jingfang Yang

Central China Normal University, China

Posters & Accepted Abstracts: Organic Chem Curr Res

Abstract :

Protein dynamics is central to all biological processes, including signal transduction, cellular regulation and biological catalysis. Among them, in-depth exploration of ligand-driven protein dynamics contributes to an optimal understanding of protein function, which is particularly relevant to drug discovery. Hence, a wide range of computational tools have been designed to investigate the important dynamic information in proteins. However, performing and analyzing protein dynamics is still challenging due to the complicated operation steps, giving rise to great difficulty, especially for nonexperts. Moreover, there is a lack of web protocol to provide online facility to investigate and visualize ligand-driven protein dynamics. To this end, in this study, we integrated several bioinformatic tools to develop a protocol, named Ligand and Receptor Molecular Dynamics (LARMD,, for profiling ligand-driven protein dynamics. To be specific, estrogen receptor (ER) was used as a case to reveal ERβ-selective mechanism, which plays a vital role in the treatment of inflammatory diseases and many types of cancers in clinical practice. Two different residues (Ile373/ Met421 and Met336/Leu384) in the pocket of ERβ/ERα were the significant determinants for selectivity, especially Met336 of ERβ. The helix H8, helix H11 and H7-H8 loop influenced the migration of selective agonist (WAY- 244). These computational results were consistent with the experimental results. Therefore, LARMD provides a user-friendly online protocol to study the dynamic property of protein and to design new ligand or site-directed mutagenesis.

Biography :

Jingfang Yang has completed her PhD at the age of 28 years from the College of Chemistry, Central China Normal University. She visited the college of pharmacy, the University of Kentucky as an exchange PHD for two years during this period. Now she is postdoctoral. She has published more than 30 papers in SCI journals and has already awarded three grants.