Evidence map›Paper›PMID 24367248›Full record

ArticlePLoS computational biology2013

Utilizing a dynamical description of IspH to aid in the development of novel antimicrobial drugs.

Patrick G Blachly, César A F de Oliveira, Sarah L Williams, J Andrew McCammon

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Patrick G BlachlyDepartment of Chemistry & Biochemistry, University of California San Diego, La Jolla, California, United States of America.
César A F de OliveiraHoward Hughes Medical Institute, University of California San Diego, La Jolla, California, United States of America.
Sarah L WilliamsDepartment of Chemistry & Biochemistry, University of California San Diego, La Jolla, California, United States of America.
J Andrew McCammonDepartment of Chemistry & Biochemistry, University of California San Diego, La Jolla, California, United States of America ; Howard Hughes Medical Institute, University of California San Diego, La Jolla, California, United States of America ; Department of Pharmacology, University of California San Diego, La Jolla, California, United States of America.
University of California, San Diego · USHoward Hughes Medical Institute · US

Funding

MOLECULAR BIOPHYSICS TRAINING PROGRAMT32GM008326 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIVES, ELIZABETH A. · 1989 to 2020
$7.5M
Howard Hughes Medical InstituteNIGMS NIH HHS T32 GM008326PHS HHS NIHGM31749
6 · The paper itself

Abstract

The nonmevalonate pathway is responsible for isoprenoid production in microbes, including H. pylori, M. tuberculosis and P. falciparum, but is nonexistent in humans, thus providing a desirable route for antibacterial and antimalarial drug discovery. We coordinate a structural study of IspH, a [4Fe-4S] protein responsible for converting HMBPP to IPP and DMAPP in the ultimate step in the nonmevalonate pathway. By performing accelerated molecular dynamics simulations on both substrate-free and HMBPP-bound [Fe4S4](2+) IspH, we elucidate how substrate binding alters the dynamics of the protein. Using principal component analysis, we note that while substrate-free IspH samples various open and closed conformations, the closed conformation observed experimentally for HMBPP-bound IspH is inaccessible in the absence of HMBPP. In contrast, simulations with HMBPP bound are restricted from accessing the open states sampled by the substrate-free simulations. Further investigation of the substrate-free simulations reveals large fluctuations in the HMBPP binding pocket, as well as allosteric pocket openings - both of which are achieved through the hinge motions of the individual domains in IspH. Coupling these findings with solvent mapping and various structural analyses reveals alternative druggable sites that may be exploited in future drug design efforts.

Indexed as

Anti-Infective AgentsBacterial ProteinsCatalytic DomainDrug DesignLigandsModels, TheoreticalMolecular Dynamics SimulationPrincipal Component AnalysisProtein BindingProtein ConformationAnti-Infective AgentsBacterial ProteinsLigands

Identifiers

PMID24367248
PMCPMC3868525
OpenAlexW2002669972

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.