Evidence map›Paper›PMID 37536390›Full record

ReviewDrug discovery today2023

Advancements in small molecule drug design: A structural perspective.

Ke Wu, Eduard Karapetyan, John Schloss, Jaydutt Vadgama, Yong Wu

Abstract readReview
In one paragraph

Review in Drug discovery today, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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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

5 authors.

Ke WuDivision of Cancer Research and Training, Department of Internal Medicine, Charles R. Drew University of Medicine and Science, David Geffen UCLA School of Medicine and UCLA Jonsson Comprehensive Cancer Center, Los Angeles, CA 90095, USA.
Eduard KarapetyanDivision of Cancer Research and Training, Department of Internal Medicine, Charles R. Drew University of Medicine and Science, David Geffen UCLA School of Medicine and UCLA Jonsson Comprehensive Cancer Center, Los Angeles, CA 90095, USA.
John SchlossDivision of Cancer Research and Training, Department of Internal Medicine, Charles R. Drew University of Medicine and Science, David Geffen UCLA School of Medicine and UCLA Jonsson Comprehensive Cancer Center, Los Angeles, CA 90095, USA; School of Pharmacy, American University of Health Sciences, Signal Hill, CA 90755, USA.
Jaydutt VadgamaDivision of Cancer Research and Training, Department of Internal Medicine, Charles R. Drew University of Medicine and Science, David Geffen UCLA School of Medicine and UCLA Jonsson Comprehensive Cancer Center, Los Angeles, CA 90095, USA; School of Pharmacy, American University of Health Sciences, Signal Hill, CA 90755, USA. Electronic address: jayvadgama@cdrewu.edu.
Yong WuDivision of Cancer Research and Training, Department of Internal Medicine, Charles R. Drew University of Medicine and Science, David Geffen UCLA School of Medicine and UCLA Jonsson Comprehensive Cancer Center, Los Angeles, CA 90095, USA. Electronic address: yongwu@ucla.edu.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Workshop for Junior Biostatisticians in Health ResearchU54MD007598 · NIMHD · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI Piwen Wang · 2012 to 2026
$60.0M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Supporting African American Churches to Promote Cancer ScreeningU54CA143931 · NCI · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI VADGAMA, JAYDUTT V. · 2009 to 2022
$19.7M
Training and Mentoring ProgramsU54CA143930 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PIETRAS, RICHARD JOSEPH · 2009 to 2020
$7.5M
Mechanisms behind hyperglycemia-associated breast cancer risk and progressionSC1CA200517 · NCI · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI WU, YONG · 2015 to 2018
$1.4M
A novel metabolic reprograming strategy for the treatment of diabetes-associated breast cancerSC1GM135050 · NIGMS · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI WU, YONG · 2020 to 2023
$1.4M
Drew/UCLA Cancer Partnership ProgramU56CA101599 · NCI · CHARLES R. DREW UNIVERSITY OF MED &SCI · PI VADGAMA, JAYDUTT V. · 2003 to 2009
$1.3M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1 TR001881NCI NIH HHS SC1 CA200517NCI NIH HHS U54 CA143930NCI NIH HHS U54 CA143931NCI NIH HHS U56 CA101599NIGMS NIH HHS SC1 GM135050NIMHD NIH HHS U54 MD007598
6 · The paper itself

Abstract

In this review, we outline recent advancements in small molecule drug design from a structural perspective. We compare protein structure prediction methods and explore the role of the ligand binding pocket in structure-based drug design. We examine various structural features used to optimize drug candidates, including functional groups, stereochemistry, and molecular weight. Computational tools such as molecular docking and virtual screening are discussed for predicting and optimizing drug candidate structures. We present examples of drug candidates designed based on their molecular structure and discuss future directions in the field. By effectively integrating structural information with other valuable data sources, we can improve the drug discovery process, leading to the identification of novel therapeutics with improved efficacy, specificity, and safety profiles.

Indexed as

Drug DesignProteinsLigandsMolecular Docking SimulationMolecular StructureLigandsProteinsdrug designmolecular dockingsmall molecule drugsthree-dimensional protein structuresvirtual screening

Identifiers

PMID37536390
PMCPMC10543554

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.