Global Dynamics Renders Protein Sites with High Functional Response

Yiǧit Kutlu, Nir Ben-Tal, Turkan Haliloglu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Deep mutational scanning enables examination of the effects of many mutations at each amino acid position in a query protein, readily disclosing positions that are particularly sensitive. Mutations in these positions alter protein function the most. Here, on the premise that dynamics underlie function, we explore to what extent the measured sensitivity to mutations could be linked to - perhaps be explained by - the structural dynamics of the protein. We employ a minimalist perturbation-response approach based on the Gaussian Network Model (GNM) on a data set of seven proteins with deep mutational scanning data. The analysis shows that the mutation-sensitive positions are often of capacity to modulate the global dynamics and to intermediate allosteric interactions in the structure. With that, upon strain perturbation, these positions decrease residue fluctuations the most, affecting function via entropy changes. This is particularly relevant for positions that are distant from binding sites or other functional regions of the protein and are sensitive to mutations, nevertheless. Our results indicate that mutations in these positions allosterically manipulate protein function.

Original languageEnglish
Pages (from-to)4734-4745
Number of pages12
JournalJournal of Physical Chemistry B
Volume125
Issue number18
DOIs
StatePublished - 13 May 2021

Funding

FundersFunder number
Abraham E. Kazan Chair
Bogazici University Research Fund13460
NATO Science for Peace and Security Program
TUBITAK119F392
Saudi Pharmaceutical SocietyG5568
Tel Aviv University
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

    Fingerprint

    Dive into the research topics of 'Global Dynamics Renders Protein Sites with High Functional Response'. Together they form a unique fingerprint.

    Cite this