Research notes, technical guides, and industry perspectives from the Moleculepath Bio team.
Early-stage biotech teams routinely underestimate how long structure-based hit identification takes. Here is a realistic breakdown of each stage and where time is typically lost.
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Schrodinger Glide offers Standard Precision and Extra Precision docking modes. Understanding when to apply each and how to interpret docking scores is essential for meaningful hit prioritization.
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Specialty CROs face unique constraints when running structure-based screening campaigns. This post covers the key operational decisions that affect short-list quality and turnaround time.
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Moving docking results, ADMET flags, and compound identifiers into Benchling without a custom integration layer is possible when your data package is structured correctly from the start.
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Applying ADMET scoring at the hit identification stage rather than at lead optimization meaningfully reduces synthesis batches that yield no usable binding activity.
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Pan-assay interference compounds are a persistent source of false positives in biochemical screening. Robust substructure filtering before synthesis decisions prevents wasted wet-lab cycles.
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AlphaFold2 outputs are now routinely used as docking targets in early discovery programs. This post covers the preparation steps that determine whether a predicted structure is docking-ready.
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Structure-based virtual screening uses protein target geometry to filter and rank compound libraries before any wet-lab synthesis. This primer explains how the pipeline works and what it requires to run well.
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