Evidence map›Paper›PMID 29920436›Full record

ReviewCurrent opinion in chemical biology2018

Improving small molecule virtual screening strategies for the next generation of therapeutics.

Bentley M Wingert, Carlos J Camacho

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Fine tuning for success in structure-based virtual screening.Journal of computer-aided molecular design · 2021
    Article
  12. Article
  13. Review
  14. Review
  15. Cross-docking benchmark for automated pose and ranking prediction of ligand binding.Protein science : a publication of the Protein Society · 2020
    Article
  16. Article
  17. Deep Learning in Drug Design: Protein-Ligand Binding Affinity Prediction.IEEE/ACM transactions on computational biology and bioinformatics
    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.

Bentley M WingertDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Carlos J CamachoDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA. Electronic address: ccamacho@pitt.edu.

Funding

Integrated Interdisciplinary, inter-university PhD Program Computational Biology (T32)T32EB009403 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET, BAR-JOSEPH, ZIV · 2009 to 2023
$4.4M
Real-time discovery of inhibitors among billion compounds for preview and downloadR01GM097082 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAMACHO, CARLOS J. · 2011 to 2020
$2.5M
NIBIB NIH HHS T32 EB009403NIGMS NIH HHS R01 GM097082
6 · The paper itself

Abstract

The new generation of post-genomic targets, such as protein-protein interactions (PPIs), often require new chemotypes not well represented in current compound libraries. This is one reason for why traditional high throughput screening (HTS) approaches are not more successful in delivering medicinal chemistry starting points for PPIs. In silico screening methods of an expanded chemical space are then potential alternatives for developing novel chemical probes to modulate PPIs. In this review, we report on the state-of-the-art pipelines for virtual screening, emphasizing prospectively validated methods capable of addressing the challenge of drugging difficult targets in the human interactome. Collectively, we show that optimal strategies for structure based virtual screening vary depending on receptor structure and degree of flexibility.

Indexed as

AnimalsComputer-Aided DesignDrug DiscoveryHumansMolecular Docking SimulationProtein BindingProtein Interaction MapsProteinsSmall Molecule LibrariesProteinsSmall Molecule Libraries

Identifiers

PMID29920436
PMCPMC6089075

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.