Evidence map›Paper›PMID 24012872›Full record

ArticleJournal of molecular graphics & modelling2013

Design of e-pharmacophore models using compound fragments for the trans-sialidase of Trypanosoma cruzi: screening for novel inhibitor scaffolds.

Bill R Miller, Adrian E Roitberg

Abstract read
In one paragraph

Article in Journal of molecular graphics & modelling, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  5. 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

2 authors at 1 institution in 1 country.

Bill R MillerDepartment of Chemistry, Quantum Theory Project, University of Florida, Gainesville, FL 32611-7200, USA.
Adrian E Roitberg
University of Florida · US

Funding

Mechanism of Trypanosoma Cruzi's Transsialidase in Chagas' DiseaseR01AI073674 · NIAID · UNIVERSITY OF FLORIDA · PI ROITBERG, ADRIAN ENRIQUE · 2008 to 2011
$949k
NIAID NIH HHS R01 AI073674
6 · The paper itself

Abstract

Chagas' is a fatal disease that affects millions of people worldwide. The lack of safe and effective treatments for Chagas' highlights the need for the discovery of new drugs to fight the disease. Trypanosoma cruzi, the parasitic cause of Chagas' disease, synthesizes a trans-sialidase (TcTS) enzyme responsible for the transfer of sialic acids from the host cell surface to glycoconjugates on the parasitic cell surface. TcTS has no human analogs and is vital to the life cycle of T. cruzi, making TcTS an important enzyme for drug design against Chagas' disease. We use fragment docking to generate various e-pharmacophore hypotheses depicting protein residues important for ligand binding. Virtual screening of the ZINC Clean Leads database with more than 4 million compounds using the e-pharmacophore models found 82 potential inhibitors of TcTS. Molecular dynamics and free energy of binding calculations were used to rank the compounds based on their affinity for TcTS. Two compounds-ZINC13359679 and ZINC02576132-were found to be the most promising lead candidates for TcTS inhibition, and their binding modes are analyzed in detail.

Indexed as

Models, MolecularAntiprotozoal AgentsBinding SitesDrug DesignEnzyme InhibitorsGlycoproteinsHumansHydrogen BondingMolecular ConformationMolecular Docking SimulationMolecular Dynamics SimulationMolecular StructureNeuraminidaseProtein BindingTrypanosoma cruziAntiprotozoal AgentsEnzyme InhibitorsGlycoproteinsNeuraminidasetrans-sialidaseDockingMM-GBSAMolecular dynamicsPharmacophoretrans-Sialidase

Identifiers

PMID24012872
PMCPMC3824395
OpenAlexW2023417690

What OpenQuestion holds

Textmetadata
LicenceTDM
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.