Research into peptide sequence reasoning, activity prediction and multifunctional discovery.
PepSilico provides a home for research into peptide sequence reasoning, activity prediction and multifunctional discovery. The research programme treats peptide activity as a sequence problem in which residue identity and positional organisation are both preserved during evidence interrogation.
Closely related peptides can contain similar residues while differing in positional organisation. PepSilico research therefore emphasises prediction frameworks in which sequence position remains explicit rather than treating compositional similarity as functional equivalence.
The underlying research explores interpretable reasoning in which admissible positional evidence is progressively resolved for an individual query. The aim is not merely to return a class, but to retain an inspectable relationship between the available evidence and the resulting decision.
Activity-specific systems are maintained independently. Initial PepSilico work includes ACE inhibitory peptide prediction and antimicrobial activity against Staphylococcus aureus. Multifunctional discovery operates across outputs of independent activity systems rather than combining their evidence bases.
PepSilico is being designed to support the return of experimentally tested predictions and submission of newly identified peptides. New evidence is subject to scientific review and audit before it can become eligible for future curated use.
Similarity can be informative without implying functional equivalence. PepSilico is being developed to preserve peptide identity while allowing evidence relationships to be interrogated in a controlled and traceable way.