The application of in silico drug-likeness predictions in pharmaceutical research.

By Sheng Tian, Junmei Wang, Youyong Li, Dan Li, Lei Xu, Tingjun Hou. Advanced Drug Delivery Reviews, 2015

441 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/7a73f14008d559cb89e799fe37182681663fd193

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1. Carlos Fernandez-Lozano
2. Nereida Rodriguez-Fernandez
3. José Liñares-Blanco
4. Alejandro Pazos
5. Paula Carracedo-Reboredo
6. Victor Maojo
7. Francisco Cedron
8. Adrián Carballal

Citations in the corpus

• A review on machine learning approaches and trends in drug discovery (2021, background): “…established from the analysis of the physicochemical properties and structural characteristics of existing or candidate compounds, has been widely used to filter out compounds with undesirable properties in terms of administration, distribution, metabolism, elimination and toxicity (ADMET) [65].”