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The rationale for such platforms is described in light of the changes that have occurred in the biological and chemical processes leading to drug target evaluation and lead identification.
Rescaffolding is in particular important in lead identification but also in lead optimization.
Among many methods developed to date, docking-based techniques are valuable tools for lead identification [4].
A commonly used cheminformatics methodology for lead identification is similarity-based.
Fragment-based ligand design is a novel concept for lead identification in drug discovery.
Ligand-based predictive modelling is widely used in drug discovery, primarily in lead identification, optimization, and safety assessment [1 3].
This unique balance of diversity and structural relatedness make this library useful for lead identification and optimization.
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MMV has collaborated with pharmaceutical companies in the screening and hit-to-lead identification component of the R&D process.
MMV operates according to a standard R&D process with the following components: compound screening and hit-to-lead identification, lead optimization, preclinical development and candidate selection, clinical phase 1, clinical phase 2, clinical phase 3, and registration and launch.
This constrains, both in terms of diversity and density, the exploration of the chemical space during lead-identification.
The optimal number of sampling runs for two key stages lead identification and lead optimization is estimated to be five and eight or more, respectively, in our model system using Cochrans sample size formula.
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