Most drug–target data were never designed to be compared at scale. Pharmome mapping takes a different approach, building a shared dataset intended to support more predictable discovery.
SynGenSys applies computational design strategies to engineer synthetic promoters with predictable performance characteristics for therapeutic and manufacturing applications. Professor David James discusses how tissue-specific regulatory elements are designed from genomic data to enable precise control of gene expression in contexts ranging from NK cell immunotherapy to biologic production.
Australian start-up OmnigeniQ has demonstrated what it describes as the first deterministic, physics-based computation of a human protein in its native state.
Neil Bhowmick explores how understanding the mechanisms of cancer drug resistance has reframed our approach to treatment, revealing containment and control as realistic goals for therapeutic strategies.
SynGenSys applies computational design strategies to engineer synthetic promoters with predictable performance characteristics for therapeutic and manufacturing applications. Professor David James discusses how tissue-specific regulatory elements are designed from genomic data to enable precise control of gene expression in contexts ranging from NK cell immunotherapy to biologic production.