Graph denoising diffusion for inverse protein folding
Inverse protein folding is challenging due to its inherent one-to-many mapping
characteristic, where numerous possible amino acid sequences can fold into a single …
characteristic, where numerous possible amino acid sequences can fold into a single …
Predicting a protein's stability under a million mutations
Stabilizing proteins is a foundational step in protein engineering. However, the evolutionary
pressure of all extant proteins makes identifying the scarce number of mutations that will …
pressure of all extant proteins makes identifying the scarce number of mutations that will …
人工智能时代下的酶工程
康里奇, 谈攀, 洪亮 - 合成生物学, 2023 - synbioj.cip.com.cn
自然界中存在的酶拥有多种多样的功能, 它们已经被应用在工业生产和学术研究中,
但其中许多酶的性质和功能还不能完全满足应用需要, 通过改造来提升这类酶的某些特性是酶 …
但其中许多酶的性质和功能还不能完全满足应用需要, 通过改造来提升这类酶的某些特性是酶 …
Graph Representation Learning for Interactive Biomolecule Systems
Advances in deep learning models have revolutionized the study of biomolecule systems
and their mechanisms. Graph representation learning, in particular, is important for …
and their mechanisms. Graph representation learning, in particular, is important for …
Semantical and Geometrical Protein Encoding Toward Enhanced Bioactivity and Thermostability
Y Tan, B Zhou, L Zheng, G Fan, L Hong - bioRxiv, 2023 - biorxiv.org
Protein engineering is a pivotal aspect of synthetic biology, involving the modification of
amino acids within existing protein sequences to achieve novel or enhanced functionalities …
amino acids within existing protein sequences to achieve novel or enhanced functionalities …
Zero-shot prediction of mutation effects on protein function with multimodal deep representation learning
W Shu, P Cheng, C Mao, J Tang, S Yang, Q Gu, W Han… - 2023 - researchsquare.com
Mutations in amino acid sequences can disrupt protein structures and functions. Accurate
and unsupervised prediction of mutation effects is critical in biotechnology and biomedicine …
and unsupervised prediction of mutation effects is critical in biotechnology and biomedicine …
ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering
Large language models (LLMs) have garnered considerable attention for their proficiency in
tackling intricate tasks, particularly leveraging their capacities for zero-shot and in-context …
tackling intricate tasks, particularly leveraging their capacities for zero-shot and in-context …
Enzyme engineering in the age of artificial intelligence
K Liqi, TAN Pan, H Liang - Synthetic Biology Journal, 2023 - synbioj.cip.com.cn
Enzymes have garnered significant attention in both research and industry due to their
unparalleled specificity and functionality, and thus opportunities remain for enhancing their …
unparalleled specificity and functionality, and thus opportunities remain for enhancing their …