Evidence map›Paper›PMID 29523234›Full record

ArticleMethods in enzymology2018

Integrating Experimental and In Silico HTS in the Discovery of Inhibitors of Protein-Nucleic Acid Interactions.

Quinn Li, Laura Folly da Silva Constantino, M Ashley Spies

Abstract read
In one paragraph

Article in Methods in enzymology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Decrypting a Cryptic Allosteric Pocket inCommunications chemistry · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Quinn LiThe University of Iowa, Iowa City, IA, United States.
Laura Folly da Silva ConstantinoThe University of Iowa, Iowa City, IA, United States.
M Ashley SpiesThe University of Iowa, Iowa City, IA, United States. Electronic address: m-ashley-spies@uiowa.edu.

Funding

Exploiting Enzyme Plasticity in Drug Discovery: application to glutamate racemaseR01GM097373 · NIGMS · UNIVERSITY OF IOWA · PI SPIES, MICHAEL ASHLEY · 2012 to 2020
$2.7M
High Throughput Drug Screening RobotS10RR029274 · NCRR · UNIVERSITY OF IOWA · PI RICE, KEVIN G · 2011 to 2011
$730k
NCRR NIH HHS S10 RR029274NIGMS NIH HHS R01 GM097373
6 · The paper itself

Abstract

Discovery of novel tool compounds and drug leads against a range of unorthodox protein targets has pushed both experimental screening methodologies as well as the field of structure-based design to the limit in recent years. Increasingly, it has been recognized that some of the most desirable targets for the development of small-molecule effectors are actually protein-protein and protein-nucleic acid interactions. There are numerous nontrivial challenges to pursuing small-molecule lead compounds directed toward PPIs and PNIs: relatively shallow cavities, large surface areas that are natively complexed to macromolecules, complex patterns of interstitial waters, a paucity of "hot spots," large conformational changes upon ligand binding, etc. Although there have been some notable successes targeting PPIs in the last decade, there has been distinctly less success in the realm of targeting PNIs. This chapter focuses on an approach, successfully applied by our group to address the challenge of gaining traction on the PPI target RAD52, which is a protein that binds both single-stranded and double-stranded DNA, and is an anticancer target for certain types of cancer. There are many approaches to tackling the difficult problems of finding effective small molecules that disrupt PPIs and PNIs, but the methods presented here offer a series of elegant solutions, which integrate experimental HTS, biophysical methods, docking, and molecular dynamics in a powerful way. Additionally, the structural knowledge gained from these studies provides a means for rationally understanding what features lead to ligand affinity in these fascinating and highly unorthodox pockets.

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationDNAHumansLigandsProtein BindingRad52 DNA Repair and Recombination ProteinDNALigandsRad52 DNA Repair and Recombination ProteinRAD52 protein, humanIn silico screeningNatural productsProtein–nucleic acid interactionsStructure-based drug discoveryVirtual screening

Identifiers

PMID29523234
PMCPMC6010167

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.