Evidence map›Paper›PMID 24050138›Full record

ReviewDrug discovery today. Technologies2013

Induced fit docking, and the use of QM/MM methods in docking.

Mengang Xu, Markus A Lill

Abstract readReview
In one paragraph

Review in Drug discovery today. Technologies, 2013. 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. Article
  4. Tuning the Biological Activity of PI3KMolecules (Basel, Switzerland) · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. The Light and Dark Sides of Virtual Screening: What Is There to Know?International journal of molecular sciences · 2019
    Review
  11. Current computational methods for predicting protein interactions of natural products.Computational and structural biotechnology journal · 2019
    Review
  12. Molecules (Basel, Switzerland) · 2018
    Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
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.

Mengang Xu
Markus A Lill

Funding

Novel Computational Methods for Modeling Cytochrome P450 Mediated Drug MetabolismR01GM092855 · NIGMS · PURDUE UNIVERSITY · PI LILL, MARKUS ALEXANDER · 2010 to 2014
$1.1M
NIGMS NIH HHS GM092855NIGMS NIH HHS R01 GM092855
6 · The paper itself

Abstract

Docking methods are popular computational techniques in drug discovery to identify new active molecules that bind to a given biological target. Although widely used, the predictive reliability of docking methods is often limited by the inability to accurately and efficiently model protein flexibility and quantify binding strength. We highlight several emerging concepts that address those methodological issues including a discussion on the incorporation of QM/MM methodologies in the scoring process.

Indexed as

Drug DiscoveryModels, MolecularLigandsProteinsQuantum TheoryLigandsProteins

Identifiers

PMID24050138
PMCPMC3719877

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.