The DOI matches its Crossref record.
Virtual Screening in Drug Discovery
Abstract
Virtual screening can reduce costs and increase hit rates for lead discovery by eliminating the need for robotics, reagent acquisition or production, and compound storage facilities. The increased robustness of computational algorithms and scoring functions, the availability of affordable computational power, and the potential for timely structural
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.
Integrity signals
Registry
Cites
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.
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
Cited by
Computer-aided drug discovery and development (CADDD): in silico-chemico-biological approach
Kapetanovic, I. M. (2008) · Chemico-Biological Interactions · doi:10.1016/j.cbi.2006.12.006 · Cited by 662
Sastry, M., Lowrie, J. F., Dixon, S. L., & Sherman, W. (2010) · Journal of Chemical Information and Modeling · doi:10.1021/ci100062n · Cited by 332
Functional, biophysical, and structural bases for antibacterial activity of tigecycline
Olson, M. W., Ruzin, A., Feyfant, E., Rush, T. S., O'Connell, J., & Bradford, P. A. (2006) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.01499-05 · Cited by 207
Pottel, J., Therrien, E., Gleason, J. L., & Moitessier, N. (2014) · Journal of Chemical Information and Modeling · doi:10.1021/ci400550m · Cited by 48
Metadata
- Venue
- CRC Press eBooks
- Publisher
- CRC Press
- Published
- 2005-03-24
- OpenAlex
- W646628079
- Cited by
- 235
- References
- 0
- Type
- reference entry
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Virtual Screening in Drug Discovery. https://app.cochat.ai/papers/10.1201/9781420028775
- The paper
- Virtual Screening in Drug Discovery. (2005). CRC Press eBooks. https://doi.org/10.1201/9781420028775
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.
