Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 83 tok/s
Gemini 2.5 Pro 54 tok/s Pro
GPT-5 Medium 21 tok/s Pro
GPT-5 High 20 tok/s Pro
GPT-4o 103 tok/s Pro
Kimi K2 205 tok/s Pro
GPT OSS 120B 456 tok/s Pro
Claude Sonnet 4 35 tok/s Pro
2000 character limit reached

Constraint-based Local Move Definitions for Lattice Protein Models Including Side Chains (0910.3880v1)

Published 20 Oct 2009 in cs.CE and q-bio.BM

Abstract: The simulation of a protein's folding process is often done via stochastic local search, which requires a procedure to apply structural changes onto a given conformation. Here, we introduce a constraint-based approach to enumerate lattice protein structures according to k-local moves in arbitrary lattices. Our declarative description is much more flexible for extensions than standard operational formulations. It enables a generic calculation of k-local neighbors in backbone-only and side chain models. We exemplify the procedure using a simple hierarchical folding scheme.

Citations (9)

Summary

We haven't generated a summary for this paper yet.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube