Journal: bioRxiv

Article Title: Engineering nanocondensate formation through sequence composition and patterning

doi: 10.64898/2026.02.17.706365

Figure Lengend Snippet: Optimization results for designing peptides with high phase separation propensity ( c dense ) and low interfacial tension ( γ ). (A) For random peptides and phase separating homopolymers, γ and c dense are strongly correlated. (B) Optimization converges within 8 iterations, yielding arginine- and tryptophan-rich Pareto-optimal sequences containing polyR patches. (C) Sequence feature analysis shows that net charge can, but does not necessarily, disrupt the γ – c dense correlation. (D) Constrained optimization limiting the number of aromatic amino acids and incorporating prior data converges rapidly to similar arginine-rich, positively charged sequences.

Article Snippet: For the exploitation component of the optimization, the Pareto front (50 sequences), based on the predicted c dense and ln γ objectives, was constructed with Gurobi using the ε -constrained method, from which 25 well-spaced points were selected for the next iteration.

Techniques: Sequencing