Identifying and Assessing Putative Allosteric Sites and Modulators for CXCR4 Predicted through Network Modeling and Site Identification by Ligand Competitive Saturation-Reference-Cited by-同舟云学术

Identifying and Assessing Putative Allosteric Sites and Modulators for CXCR4 Predicted through Network Modeling and Site Identification by Ligand Competitive Saturation

Published:2024-04-22 Issue:21 Volume:128 Page:5157-5174
ISSN:1520-6106
Container-title:The Journal of Physical Chemistry B
language:en
Short-container-title:J. Phys. Chem. B

Author:

Inan Tugce¹,Flinko Robin²,Lewis George K.²,MacKerell Alexander D.³^ORCID,Kurkcuoglu Ozge¹^ORCID

Affiliation:

1. Department of Chemical Engineering, Istanbul Technical University, Istanbul 34469, Turkey

2. Institute of Human Virology, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States

3. University of Maryland Computer-Aided Drug Design Center, Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, Maryland 21201, United States

Funder

Istanbul Teknik ?niversitesi

T?rkiye Bilimsel ve Teknolojik Arastirma Kurumu

National Institutes of Health

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcb.4c00925

Reference137 articles.

1. Homeostatic chemokine receptors and organ-specific metastasis

2. Defects of B-cell lymphopoiesis and bone-marrow myelopoiesis in mice lacking the CXC chemokine PBSF/SDF-1

3. Structural and Functional Characterization of Human CXCR4 as a Chemokine Receptor and HIV-1 Co-receptor by Mutagenesis and Molecular Modeling Studies

4. The Intricate Role of CXCR4 in Cancer

5. Overexpression of CXCR4 synergizes with LL-37 in the metastasis of breast cancer cells

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring Druggable Binding Sites on the Class A GPCRs Using the Residue Interaction Network and Site Identification by Ligand Competitive Saturation;ACS Omega;2024-09-13

2. Allostery Illuminated: Harnessing AI and Machine Learning for Drug Discovery;ACS Medicinal Chemistry Letters;2024-08-30