Evidence map›Paper›PMID 33759133›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Multiple Target Drug Design Using LigBuilder 3.

Xiaoyu Qing, Shiwei Wang, Yaxia Yuan, Jianfeng Pei, Luhua Lai

Abstract read
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Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Xiaoyu QingBNLMS, Peking-Tsinghua Center for Life Sciences at College of Chemistry and Molecular Engineering, Peking University, Beijing, China.
Shiwei WangPTN Graduate Program, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Yaxia YuanCenter for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Jianfeng PeiCenter for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China. jfpei@pku.edu.cn.
Luhua LaiBNLMS, Peking-Tsinghua Center for Life Sciences at College of Chemistry and Molecular Engineering, Peking University, Beijing, China. lhlai@pku.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Designing drugs that directly interact with multiple targets is a promising approach for treating complicated diseases. In order to successfully bind to multiple targets of different families and achieve the desired ligand efficiency, multi-target-directed ligands (MTDLs) require a higher level of diversity and complexity. De novo design strategies for creating more diverse chemical entities with desired properties may present an improved approach for developing MTDLs. In this chapter, we describe a computational protocol for developing MTDLs using the first reported multi-target de novo program, LigBuilder 3, which combines a binding site prediction module with de novo drug design and optimization modules. As an illustration of each detailed procedure, we design dual-functional compounds of two well-characterized virus enzymes, HIV protease and reverse transcriptase (PR and RT, respectively), using fragments extracted from known inhibitors. LigBuilder 3 is accessible at http://www.pkumdl.cn/ligbuilder3/ .

Indexed as

Drug DesignSoftwareAlgorithmsBinding SitesDatabases, ProteinHIV ProteaseHIV Protease InhibitorsHIV Reverse TranscriptaseLigandsModels, MolecularProtein BindingSmall Molecule LibrariesHIV ProteaseHIV Protease InhibitorsHIV Reverse TranscriptaseLigandsSmall Molecule Librariesde novo drug designLigBuilder 3Multi-target drug design

Identifiers

PMID33759133

What OpenQuestion holds

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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.