Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 172

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Successful Virtual Screening for Novel Inhibitors of Human Carbonic Anhydrase: Strategy and Experimental Confirmation

Open access
Grüneberg, Sven, Stubbs, Milton T., Klebe, Gerhard·2002·Journal of Medicinal Chemistry

Abstract

Virtual screening of compound libraries is an alternative and complementary approach to high-throughput screening in the lead discovery process. A new strategy is described to search for possible leads of human carbonic anhydrase II, applying a protocol of several consecutive hierarchical filters involving a preselection based on functional group requirements and fast pharmacophore matching. A suitable pharmacophore is derived by a sophisticated "hot spot" analysis of the binding site to detect regions favorable for protein-ligand interactions. In subsequent steps, molecular similarity with known reference ligands is used to rerank the hits from the pharmacophore matching. Finally the best scored candidates are docked flexibly into the protein binding pocket. After examination of the affinity predictions, 13 compounds were selected for experimental testing. Of these 13, three could be shown to be subnanomolar, one is nanomolar, while a further seven are micromolar inhibitors. The binding mode of two hits could be confirmed by crystal structure analysis. The novelty of the discovered leads is best supported by the fact that a search in the patent literature showed the newly discovered subnanomolar compounds to comprise scaffolds not yet covered by existing patents.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/jm011112j

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 172

Metadata

Authors
Grüneberg, S., Stubbs, M. T., & Klebe, G.
Venue
Journal of Medicinal Chemistry
Published
2002-07-12
Volume
45
Issue
17
Pages
3588-3602
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W2083957993
Cited by
172
References
1
FWCI
5.94
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.