Unverified50% confidenceFactExact time
ProteinMPNN uses a message-passing neural network to predict the optimal amino acid sequence given a backbone structure, solving the inverse folding problem.
1
Sources
50%
Confidence
Long-term
Relevance
9/10/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAlphaFold solved the protein folding problem that had puzzled the biology community for 50 years—namely, predicting the three-dimensional structure of a protein from its amino acid sequence—through deep learning technology.72% similarUnverifiedCo-folding refers to simultaneously predicting the three-dimensional structures of a protein and a ligand and their binding mode, allowing the protein and ligand to mutually adapt (induced fit effect).62% similarUnverified人类蛋白质组约含20,000个基因编码蛋白，许多疾病相关靶点在结构数据库中缺乏实验解析的复合物结构58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/887751API
curl https://kongchang.com/api/v1/knowledge/claims/887751MCP
get_claim(id=887751)