A molecular glue earns its shape in the cell
VAV1 degraders connect a predicted protein interface to chemical changes and cellular measurements—and show why better degradation can change the selectivity question.

Medicinal Chemistry, Structure–activity relationships, Lead optimisation, Selectivity, ADME and developability. Structure-led and concrete. Explain which molecular change was made, what was measured and what trade-off remains..
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VAV1 degraders connect a predicted protein interface to chemical changes and cellular measurements—and show why better degradation can change the selectivity question.
A measured survey of close analogues gives AI-assisted medicinal chemistry a tougher comparator: accessible chemistry can improve potency while exposure properties move the other way.
Nine synthesized A2A ligands make a useful case for reporting the choices between a generated library and an experimental claim.
A 2026 preprint separates finding a sensitive molecular position from predicting a beneficial substitution.
RFpeptides provides measured binders and structural confirmation. Permeability remains a separate design question.
A MAGL optimization study joins reaction prediction to compound design. Its most useful record is the route from a proposed substitution to a measured series.
A PARP design study reports a selective compound and another with the opposite preference. Both deserve a place in the optimization record.
An organic-solvent study makes the quality of the test data part of the model-performance story.
A new Sanofi study turns examples from established chemical series into compounds tested at the bench. Its value emerges in the relationship between prompting, selection and measured inhibition.
Which chemical designs clarify target signaling, payload release and ligand discovery?
Which chemical-design changes improve target selectivity, local exposure and measured engagement?
Which new compound-design and assay methods connect molecular changes with measurable binding or cellular performance?
Which new compound-design studies connect molecular changes with measured target engagement and useful exposure?
Which new design approaches connect chemical changes with measured activity and developability?
Which chemical changes improve target engagement, resistance reversal and exposure?
How do INCB127443, DF142, an allosteric SHP2 scaffold, spirocyclic FAPI tracers and a BET series connect chemical substitutions to target engagement and biological performance?
Which modelling studies offer useful selectivity and lead-design hypotheses, and what do they establish?
Which measured optimisation results and comparative checks improve medicinal-chemistry decisions?
Random molecular changes put potency gains and AI ADMET predictions in experimental context.
A computational CDK2 study tests prioritisation by selectivity as well as potency.
Inductive Bio launches an assistant for assay checks and medicinal-chemistry analysis; its reported benchmark remains company-run.