Drug Discovery Today: BIOSILICO

Aims & Scope

Drug Discovery Today delivers informed and highly current reviews for the discovery community.

The magazine addresses not only the rapid scientific developments in drug discovery associated technologies but also the management, commercial and regulatory issues that increasingly play a part in how R&D is planned, structured and executed.

Features include comment by international experts, news and analysis of important developments, reviews of key scientific and strategic issues, overviews of recent progress in specific therapeutic areas and conference reports.

Coverage includes: • Novel therapeutic strategies • High-throughput screening • Therapeutic targets • Combinatorial chemistry, parallel synthesis and library design • Drug delivery • ADME/Tox • Advances in key compound classes and therapeutic areas • Genomics and proteomics • Automation and technology • Virtual chemistry • Informatics • Business strategy • Clinical trials and other aspects of drug discovery.

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Pharmacology, Toxicology and Pharmaceutics, designed to support cutting-edge academic discovery.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Algorithms for de novo peptide sequencing using tandem mass spectrometry

  Citation: 37

  Authors: Bingwen, Ting

• Information visualization techniques in bioinformatics during the postgenomic era

  Citation: 33

  Authors: Ying, Yang, Carol, Yves A.

• myGrid and the drug discovery process

  Citation: 25

  Authors: Robert, Robin, Carole, Mark, Jun, Anil, Peter

• Annotating and mining the ligand-target chemogenomics knowledge space

  Citation: 24

  Authors: Ansgar, Edgar

• Bayesian neural nets for modeling in drug discovery

  Citation: 23

  Authors: David A., Frank R.

• Controlled vocabularies in bioinformatics: a case study in the gene ontology

  Citation: 21

  Authors: Barry, Anand

• Simulation models for drug disposition and drug interactions

  Citation: 21

  Authors: Maurice, Han

• Web-based cheminformatics tools deployed via corporate Intranets

  Citation: 20

  Authors: Peter, Paul, Jörg

• What the semantic web could do for the life sciences

  Citation: 19

  Authors: Eric K., Eric, John

• Using artificial neural networks to drive virtual screening of combinatorial libraries

  Citation: 17

  Authors: Victor