Evidence map›Paper›PMID 32551014›Full record

ArticleACS medicinal chemistry letters2020

Evaluation of 3-Dimensionality in Approved and Experimental Drug Space.

Kathleen E Prosser, Ryjul W Stokes, Seth M Cohen

Open access · greenAbstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 86 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Kathleen E ProsserDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, United States.
Ryjul W StokesDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, United States.
Seth M CohenDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, United States.
University of California San Diego · US

Funding

Metallofragments as 3-Dimensional Scaffolds for Fragment-Based Drug DiscoveryR21AI138934 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI THEODORAKIS, EMMANUEL A · 2018 to 2019
$402k
NIAID NIH HHS R21 AI138934
6 · The paper itself

Abstract

The 3-dimensional (3D) structure of therapeutics and other bioactive molecules is an important factor in determining the strength and selectivity of their protein-ligand interactions. Previous efforts have considered the strain introduced and tolerated through conformational changes induced upon protein binding. Herein, we present an analysis of 3-dimentionality for energy-minimized structures from the DrugBank and ligands bound to proteins identified in the Protein Data Bank (PDB). This analysis reveals that the majority of molecules found in both the DrugBank and the PDB tend toward linearity and planarity, with few molecules having highly 3D conformations. Decidedly 3D geometries have been historically difficult to achieve, likely due to the synthetic challenge of making 3D organic molecules, and other considerations, such as adherence to the 'rule-of-five'. This has resulted in the dominance of planar and/or linear topologies of the molecules described here. Strategies to address the generally flat nature of these data sets are explored, including the use of 3D organic fragments and inorganic scaffolds as a means of accessing privileged 3D space. This work highlights the potential utility of libraries with greater 3D topological diversity so that the importance of molecular shape to biological behavior can be more fully understood in drug discovery campaigns.

Identifiers

PMID32551014
PMCPMC7294711
OpenAlexW3026986333

What OpenQuestion holds

Textmetadata
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.