Evidence map›Paper›PMID 35380443›Full record

ReviewJournal of chemical information and modeling2022

Improving

Andrew T McNutt, David Ryan Koes

Abstract readReview
In one paragraph

Review in Journal of chemical information and modeling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. 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.

Andrew T McNuttDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.ORCID 0000-0001-6497-6019
David Ryan KoesDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.ORCID 0000-0002-6892-6614

Funding

New Methods and Tools for Computational Drug Discovery: Diversity SupplementR35GM140753 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KOES, DAVID RYAN · 2021 to 2025
$2.2M
NIGMS NIH HHS R35 GM140753
6 · The paper itself

Abstract

The lead optimization phase of drug discovery refines an initial hit molecule for desired properties, especially potency. Synthesis and experimental testing of the small perturbations during this refinement can be quite costly and time-consuming. Relative binding free energy (RBFE, also referred to as

Indexed as

Neural Networks, ComputerProteinsDrug DiscoveryEntropyLigandsLigandsProteins

Identifiers

PMID35380443
PMCPMC9038699

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.