Literature DB >> 35913731

SILCS-RNA: Toward a Structure-Based Drug Design Approach for Targeting RNAs with Small Molecules.

Abhishek A Kognole1, Anthony Hazel1, Alexander D MacKerell1.   

Abstract

RNA molecules can act as potential drug targets in different diseases, as their dysregulated expression or misfolding can alter various cellular processes. Noncoding RNAs account for ∼70% of the human genome, and these molecules can have complex tertiary structures that present a great opportunity for targeting by small molecules. In the present study, the site identification by ligand competitive saturation (SILCS) computational approach is extended to target RNA, termed SILCS-RNA. Extensions to the method include an enhanced oscillating excess chemical potential protocol for the grand canonical Monte Carlo calculations and individual simulations of the neutral and charged solutes from which the SILCS functional group affinity maps (FragMaps) are calculated for subsequent binding site identification and docking calculations. The method is developed and evaluated against seven RNA targets and their reported small molecule ligands. SILCS-RNA provides a detailed characterization of the functional group affinity pattern in the small molecule binding sites, recapitulating the types of functional groups present in the ligands. The developed method is also shown to be useful for identification of new potential binding sites and identifying ligand moieties that contribute to binding, granular information that can facilitate ligand design. However, limitations in the method are evident including the ability to map the regions of binding sites occupied by ligand phosphate moieties and to fully account for the wide range of conformational heterogeneity in RNA associated with binding of different small molecules, emphasizing inherent challenges associated with applying computer-aided drug design methods to RNA. While limitations are present, the current study indicates how the SILCS-RNA approach may enhance drug discovery efforts targeting RNAs with small molecules.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35913731      PMCID: PMC9474704          DOI: 10.1021/acs.jctc.2c00381

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.578


  114 in total

1.  Development and testing of a general amber force field.

Authors:  Junmei Wang; Romain M Wolf; James W Caldwell; Peter A Kollman; David A Case
Journal:  J Comput Chem       Date:  2004-07-15       Impact factor: 3.376

2.  Grand canonical Monte Carlo simulations of water in protein environments.

Authors:  Hyung-June Woo; Aaron R Dinner; Benoît Roux
Journal:  J Chem Phys       Date:  2004-10-01       Impact factor: 3.488

3.  DrugScoreRNA--knowledge-based scoring function to predict RNA-ligand interactions.

Authors:  Patrick Pfeffer; Holger Gohlke
Journal:  J Chem Inf Model       Date:  2007-08-18       Impact factor: 4.956

4.  Targeting RNA with Small Molecules To Capture Opportunities at the Intersection of Chemistry, Biology, and Medicine.

Authors:  Matthew D Disney
Journal:  J Am Chem Soc       Date:  2019-04-19       Impact factor: 15.419

5.  Long-range pseudoknot interactions dictate the regulatory response in the tetrahydrofolate riboswitch.

Authors:  Lili Huang; Satoko Ishibe-Murakami; Dinshaw J Patel; Alexander Serganov
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-22       Impact factor: 11.205

6.  Reproducing crystal binding modes of ligand functional groups using Site-Identification by Ligand Competitive Saturation (SILCS) simulations.

Authors:  E Prabhu Raman; Wenbo Yu; Olgun Guvench; Alexander D Mackerell
Journal:  J Chem Inf Model       Date:  2011-04-01       Impact factor: 4.956

7.  Structure of TAR RNA complexed with a Tat-TAR interaction nanomolar inhibitor that was identified by computational screening.

Authors:  Zhihua Du; Kenneth E Lind; Thomas L James
Journal:  Chem Biol       Date:  2002-06

Review 8.  Structure-based DNA-targeting strategies with small molecule ligands for drug discovery.

Authors:  Jia Sheng; Jianhua Gan; Zhen Huang
Journal:  Med Res Rev       Date:  2013-04-30       Impact factor: 12.944

9.  Structure of HIV TAR in complex with a Lab-Evolved RRM provides insight into duplex RNA recognition and synthesis of a constrained peptide that impairs transcription.

Authors:  Ivan A Belashov; David W Crawford; Chapin E Cavender; Peng Dai; Patrick C Beardslee; David H Mathews; Bradley L Pentelute; Brian R McNaughton; Joseph E Wedekind
Journal:  Nucleic Acids Res       Date:  2018-07-27       Impact factor: 16.971

10.  rDock: a fast, versatile and open source program for docking ligands to proteins and nucleic acids.

Authors:  Sergio Ruiz-Carmona; Daniel Alvarez-Garcia; Nicolas Foloppe; A Beatriz Garmendia-Doval; Szilveszter Juhos; Peter Schmidtke; Xavier Barril; Roderick E Hubbard; S David Morley
Journal:  PLoS Comput Biol       Date:  2014-04-10       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.