Evidence map›Paper›PMID 27873247›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2017

Computer-Aided Drug Design Methods.

Wenbo Yu, Alexander D MacKerell

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 papers.

0numbers the graph read from it
0cells of the map it votes in
179citing papers in PubMed
19.0field-weighted citation impact, top 1% 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

179 citing papers in PubMed, 590 citations in OpenAlex.

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  5. Radiolabeled Antimicrobials for Infection Imaging: A Scoping Review.International journal of molecular sciences · 2026
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119 more citing papers are in PubMed but not listed here.

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.

Wenbo YuComputer-Aided Drug Design Center, Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, 20 Penn Street, Baltimore, MD, 21201, USA.
Alexander D MacKerellComputer-Aided Drug Design Center, Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, 20 Penn Street, Baltimore, MD, 21201, USA. alex@outerbanks.umaryland.edu.
University of Maryland, Baltimore · US

Funding

Restoration of Tumor Suppression Activity in Malignant MelanomaR01CA107331 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI WEBER, DAVID JOSEPH · 2006 to 2015
$5.4M
Pre-computed free energy maps for rapid structure-based ligand designR43GM109635 · NIGMS · SILCSBIO, LLC · PI MACKERELL, ALEXANDER D, MALONE, KENNETH GEORGE · 2015 to 2016
$234k
NCI NIH HHS R01 CA107331NIGMS NIH HHS R43 GM109635
6 · The paper itself

Abstract

Computational approaches are useful tools to interpret and guide experiments to expedite the antibiotic drug design process. Structure-based drug design (SBDD) and ligand-based drug design (LBDD) are the two general types of computer-aided drug design (CADD) approaches in existence. SBDD methods analyze macromolecular target 3-dimensional structural information, typically of proteins or RNA, to identify key sites and interactions that are important for their respective biological functions. Such information can then be utilized to design antibiotic drugs that can compete with essential interactions involving the target and thus interrupt the biological pathways essential for survival of the microorganism(s). LBDD methods focus on known antibiotic ligands for a target to establish a relationship between their physiochemical properties and antibiotic activities, referred to as a structure-activity relationship (SAR), information that can be used for optimization of known drugs or guide the design of new drugs with improved activity. In this chapter, standard CADD protocols for both SBDD and LBDD will be presented with a special focus on methodologies and targets routinely studied in our laboratory for antibiotic drug discoveries.

Indexed as

Computer-Aided DesignDrug DesignDatabases as TopicDrug Evaluation, PreclinicalLigandsMolecular Docking SimulationQuantitative Structure-Activity RelationshipThermodynamicsUser-Computer InterfaceLigandsComputer-aided drug designDockingForce fieldMolecular dynamicsPharmacophoreSILCSSite identification by ligand competitive saturationStructure-activity relationshipVirtual screening

Identifiers

PMID27873247
PMCPMC5248982
OpenAlexW2554099577

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.