Unverified50% confidenceFactExact time
FoldScape is a sequence-conditioned deep learning framework that can generate the corresponding Cα conformational ensemble given a folding fraction Q.
1
Sources
50%
Confidence
Long-term
Relevance
11/4/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedBD partitions the sequence into blocks, uses masked diffusion generation within blocks, and maintains an autoregressive or parallel structure between blocks.62% similarUnverifiedThe pattern knowledge base breaks each pattern down into programmable determination conditions (involving palaces, stars, Four Transformations combinations, and breaking conditions) and links the original classical texts as an explanatory layer.60% similarUnverified基于序列号的槽位机制中，环形缓冲区每个槽位携带独立序列号，将全局头尾指针写争用分散至各槽位，减少缓存行冲突60% similarUnverifiedIn Lean proofs, unfold is used to expand function definitions, split_ifs is used to split the branches of conditional statements, and omega is used to solve natural-number arithmetic obligations.58% similarUnverifiedStratifiedGroupKFold is a splitter in scikit-learn for grouped cross-validation that keeps the target-variable distribution of each fold while ensuring all samples of the same group (such as a patient) appear in only one fold.57% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1133930API
curl https://kongchang.com/api/v1/knowledge/claims/1133930MCP
get_claim(id=1133930)