Computational Drug Discovery Methods
Computational Drug Discovery Methods is a research topic within Computational Theory and Mathematics. Science Explorer counts 78k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on computational methods, virtual screening, and molecular docking techniques used in drug discovery. It covers topics such as drug target identification, pharmacokinetics, chemical properties, machine learning applications, polypharmacology, and network pharmacology.
- Molecular Docking
- Virtual Screening
- Drug Target Identification
- QSAR Modeling
- Pharmacokinetics
- Chemical Properties
- Machine Learning
- Polypharmacology
- Network Pharmacology
- Medicinal Chemistry
- Research works
- 78k fractional, since 1950
- In the world top 10%
- 7.7k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +42% the tick is no change
- Largest producer
China
28% of the 10 largest, 2022-now
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