
TL;DR
This paper demonstrates that Rosetta struggles with small protein and RNA puzzles due to limitations in its energy function, highlighting areas for fundamental improvements in modeling accuracy.
Contribution
It identifies the core reason for Rosetta's failure on small puzzles as energy function inaccuracies rather than sampling issues, providing a basis for future enhancements.
Findings
Rosetta cannot reliably discriminate native conformations in small systems
Sampling is not the main bottleneck in small system modeling
Energy function approximations hinder accurate structure prediction
Abstract
A complete macromolecule modeling package must be able to solve the simplest structure prediction problems. Despite recent successes in high resolution structure modeling and design, the Rosetta software suite fares poorly on deceptively small protein and RNA puzzles, some as small as four residues. To illustrate these problems, this manuscript presents extensive Rosetta results for four well-defined test cases: the 20-residue mini-protein Trp cage, an even smaller disulfide-stabilized conotoxin, the reactive loop of a serine protease inhibitor, and a UUCG RNA tetraloop. In contrast to previous Rosetta studies, several lines of evidence indicate that conformational sampling is not the major bottleneck in modeling these small systems. Instead, approximations and omissions in the Rosetta all-atom energy function currently preclude discriminating experimentally observed conformations from…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
