Literature DB >> 33532888

Structure-based identification of inhibitors disrupting the CD2-CD58 interactions.

Neha Tripathi1, Laurence Leherte2,3, Daniel P Vercauteren2, Adèle D Laurent4.   

Abstract

The immune system has very intricate mechanisms of fighting against the invading infections which are accomplished by a sequential event of molecular interactions in the body. One of the crucial phenomena in this process is the recognition of T-cells by the antigen-presenting cells (APCs), which is initiated by the rapid interaction between both cell surface receptors, i.e., CD2 located on T-cells and CD58 located on APCs. Under various pathological conditions, which involve undesired immune response, inhibiting the CD2-CD58 interactions becomes a therapeutically relevant opportunity. Herein we present an extensive work to identify novel inhibiting agents of the CD2-CD58 interactions. Classical molecular dynamics (MD) simulations of the CD2-CD58 complex highlighted a series of crucial CD58 residues responsible for the interactions with CD2. Based on such results, a pharmacophore map, complementary to the CD2-binding site of CD58, was created and employed for virtual screening of ~ 300,000 available compounds. On the ~ 6000 compounds filtered from pharmacophore mapping, ADME screening leads to ~ 350 molecules. Molecular docking was then performed on these molecules, and fifteen compounds emerged with significant binding energy (< - 50 kcal/mol) for CD58. Finally, short MD simulations were performed in triplicate on each complex (i) to provide a microscopic view of the ligand binding and (ii) to rule out possibly weak binders of CD58 from the identified hits. At last, we suggest eight compounds for in vitro testing that were identified as promising hits to bind CD58 with a high binding affinity.

Entities:  

Keywords:  CD2–CD58 interactions; Docking; Drug design; Molecular dynamics

Mesh:

Substances:

Year:  2021        PMID: 33532888     DOI: 10.1007/s10822-020-00369-z

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  51 in total

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Journal:  World J Gastroenterol       Date:  2006-07-14       Impact factor: 5.742

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Journal:  Mol Immunol       Date:  2012-06-07       Impact factor: 4.407

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Journal:  Transplantation       Date:  2005-11-15       Impact factor: 4.939

8.  CD58 expression of liver tissue in patients with chronic hepatitis B virus infection.

Authors:  Ping Wang; Bao-tai Qi; Ping Chen; Lin-jing He; Jie Li; Yu-qiang Ji; Ming Xie
Journal:  Chin Med J (Engl)       Date:  2008-03-20       Impact factor: 2.628

9.  Genetic variants at CD28, PRDM1 and CD2/CD58 are associated with rheumatoid arthritis risk.

Authors:  Soumya Raychaudhuri; Brian P Thomson; Elaine F Remmers; Stephen Eyre; Anne Hinks; Candace Guiducci; Joseph J Catanese; Gang Xie; Eli A Stahl; Robert Chen; Lars Alfredsson; Christopher I Amos; Kristin G Ardlie; Anne Barton; John Bowes; Noel P Burtt; Monica Chang; Jonathan Coblyn; Karen H Costenbader; Lindsey A Criswell; J Bart A Crusius; Jing Cui; Phillip L De Jager; Bo Ding; Paul Emery; Edward Flynn; Pille Harrison; Lynne J Hocking; Tom W J Huizinga; Daniel L Kastner; Xiayi Ke; Fina A S Kurreeman; Annette T Lee; Xiangdong Liu; Yonghong Li; Paul Martin; Ann W Morgan; Leonid Padyukov; David M Reid; Mark Seielstad; Michael F Seldin; Nancy A Shadick; Sophia Steer; Paul P Tak; Wendy Thomson; Annette H M van der Helm-van Mil; Irene E van der Horst-Bruinsma; Michael E Weinblatt; Anthony G Wilson; Gert Jan Wolbink; Paul Wordsworth; David Altshuler; Elizabeth W Karlson; Rene E M Toes; Niek de Vries; Ann B Begovich; Katherine A Siminovitch; Jane Worthington; Lars Klareskog; Peter K Gregersen; Mark J Daly; Robert M Plenge
Journal:  Nat Genet       Date:  2009-11-08       Impact factor: 38.330

10.  Costimulatory Function of Cd58/Cd2 Interaction in Adaptive Humoral Immunity in a Zebrafish Model.

Authors:  Tong Shao; Wei Shi; Jia-Yu Zheng; Xiao-Xiao Xu; Ai-Fu Lin; Li-Xin Xiang; Jian-Zhong Shao
Journal:  Front Immunol       Date:  2018-05-31       Impact factor: 7.561

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