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Accurate computer models of a treatment and its deployment, as well as patient characteristics, are necessary precursors for the development of in silico clinical trials. [5] [6] [8] [9] In such a scenario, ‘virtual’ patients would be given a ‘virtual’ treatment, enabling observation through a computer simulation of how the candidate biomedical product performs and whether it produces ...
The term in silico was first used in 1989 at a workshop "Cellular Automata: Theory and Applications" by a mathematician from National Autonomous University of Mexico (UNAM). [2] The term in silico radiation oncology, a precursor of generic in silico medicine was coined and first introduced by G. Stamatakos in Proceedings of the IEEE in 2002. [3]
This is a list of open-access journals by field. The list contains notable journals which have a policy of full open access. It does not include delayed open access journals, hybrid open access journals, or related collections or indexing services. True open-access journals can be split into two categories:
Future Medicinal Chemistry is a peer-reviewed medical journal covering all aspects of medicinal chemistry, including drug discovery, pharmacology, in silico drug design, structural characterization techniques, ADME-Tox investigations, and science policy, economic and intellectual property issues. It was established in 2009 and is published by ...
In biology and other experimental sciences, an in silico experiment is one performed on a computer or via computer simulation software. The phrase is pseudo-Latin for 'in silicon' (correct Latin : in silicio ), referring to silicon in computer chips.
Version 3.0 was released in 2011. [8] This version contained 1424 approved small molecule drugs and 132 biotech drugs as well as >4000 unique drug targets. Version 3.0 also included drug transporter data, drug pathway data, drug pricing, patent and manufacturing data as well as data on >5000 experimental drugs. Version 4.0 was released in 2014. [4]
In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling, British journal of pharmacology, 2007 (959 citations 4.1.2025) In silico pharmacology for drug discovery: applications to targets and beyond, British journal of pharmacology, 2007 (531 citations 4.1.2025)
Computational Resources for Drug Discovery (CRDD) is an important module of the in silico module of Open Source for Drug Discovery (OSDD). [1] The CRDD web portal provides computer resources related to drug discovery, predicting inhibitors, and predicting the ADME-Tox properties of molecules on a single platform.