What does computational protein design look like? We did a PD-L1 design run using rosalind in LiteFold. We tried to design linear and cyclic peptide candidates to see if we can explore any denovo binders. We used BoltzGen and within a few hours we shortlisted five candidates, with predicted confidence scores ranging from 0.70 to 0.87 and ipTM score from 0.80-0.95 A typical run would usually take days to get good enough binders, but with LiteFold you can do it within hours, including the research like hotspots, pocket scanning etc., These are strictly computational binders and not wet lab validated . Explore protein design with LiteFold.

Agents have to waste soo much token when operating on large files like pdb, single-cell, raw sequencing signal, slide, volume like CryoEM and so many others. They normally come in binaries when seen in raw formats. Super hard for agent to operate on. Computer use is fine, but then you need 10 different softwares. What if, you could take the best of both the worlds and merge them? Soon!