Structure-Based Virtual Screening: From Classical to Artificial Intelligence
The drug development process is a major challenge in the pharmaceutical industry since it takes a substantial amount of time and money to move through all the phases of developing of a new drug. One extensively used method to minimize the cost and time for the drug development process is computer-aided drug design (CADD). CADD allows better focusing on experiments, which can reduce the time and cost involved in researching new drugs. In this context, structure-based virtual screening (SBVS) is r
Record details
Published: 28 April 2020
Source: OpenAlex
Category: Research
Topics: Healthcare · Biotech
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Digitizing clinical trials
OpenAlex · 31 July 2020
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
OpenAlex · 1 September 2020
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
OpenAlex · 1 September 2020
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension
OpenAlex · 9 September 2020
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
OpenAlex · 9 September 2020
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
OpenAlex · 9 September 2020
How to cite this record
ethics.ai (28 April 2020), “Structure-Based Virtual Screening: From Classical to Artificial Intelligence,” evidence record 8754, https://ethics.ai/record/8754 (originally published by OpenAlex).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.