Evidence map›Paper›PMID 35636004›Full record

ReviewCurrent opinion in structural biology2022

Mapping the binding sites of challenging drug targets.

Amanda E Wakefield, Dima Kozakov, Sandor Vajda

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in structural biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Accurate Identification of Protein Binding Sites for All Drug Modalities Using ALLSites.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Secondary Sites of the C-type Lectin-Like Fold.Chemistry (Weinheim an der Bergstrasse, Germany) · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. In Silico Exploration of the Trypanothione Reductase (TryR) ofInternational journal of molecular sciences · 2023
    Article
  20. 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

3 authors at 2 institutions in 1 country.

Amanda E WakefieldDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA; Department of Chemistry, Boston University, Boston, MA 02215, USA.
Dima KozakovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.
Sandor VajdaDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA; Department of Chemistry, Boston University, Boston, MA 02215, USA. Electronic address: vajda@bu.edu.
Boston University · USStony Brook University · US

Funding

Analysis and Prediction of Molecular InteractionsR35GM118078 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SANDOR VAJDA · 2016 to 2026
$6.5M
Mechanism of Slow Onset Enzyme Inhibition and Translation to Time-Dependent Drug ActivityR01GM102864 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI TONGE, PETER J · 2012 to 2021
$2.6M
Simulation of Multi-Protein systemsR01GM140098 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI KOZAKOV, DMYTRO · 2021 to 2024
$1.4M
Fast energy evaluation for multi-protein systemsR21GM127952 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI KOZAKOV, DMYTRO · 2018 to 2019
$432k
NIGMS NIH HHS R01 GM102864NIGMS NIH HHS R01 GM140098NIGMS NIH HHS R21 GM127952NIGMS NIH HHS R35 GM118078
6 · The paper itself

Abstract

An increasing number of medically important proteins are challenging drug targets because their binding sites are too shallow or too polar, are cryptic and thus not detectable without a bound ligand or located in a protein-protein interface. While such proteins may not bind druglike small molecules with sufficiently high affinity, they are frequently druggable using novel therapeutic modalities. The need for such modalities can be determined by experimental or computational fragment based methods. Computational mapping by mixed solvent molecular dynamics simulations or the FTMap server can be used to determine binding hot spots. The strength and location of the hot spots provide very useful information for selecting potentially successful approaches to drug discovery.

Indexed as

Molecular Dynamics SimulationProteinsBinding SitesDrug DiscoveryLigandsProtein BindingLigandsProteinsAllosteric sitesBeyond rule of five compoundsCryptic sitesInhibitors of protein–protein interactionsMixed solvent molecular dynamics

Identifiers

PMID35636004
PMCPMC9790766
OpenAlexW4281692789

What Socratic 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 Socratic graph.