Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models
Protein engineering is an emerging field in biotechnology that has the potential to
revolutionize various areas, such as antibody design, drug discovery, food security, ecology …
revolutionize various areas, such as antibody design, drug discovery, food security, ecology …
[HTML][HTML] Machine learning methods for predicting protein structure from single sequences
Recent breakthroughs in protein structure prediction have increasingly relied on the use of
deep neural networks. These recent methods are notable in that they produce 3-D atomic …
deep neural networks. These recent methods are notable in that they produce 3-D atomic …
Contrasting Sequence with Structure: Pre-training Graph Representations with PLMs
Understanding protein function is vital for drug discovery, disease diagnosis, and protein
engineering. While Protein Language Models (PLMs) pre-trained on vast protein sequence …
engineering. While Protein Language Models (PLMs) pre-trained on vast protein sequence …
E2EDA: Protein domain assembly based on end-to-end deep learning
HT Zhu, YH Xia, GJ Zhang - Journal of Chemical Information and …, 2023 - ACS Publications
With the development of deep learning, almost all single-domain proteins can be predicted
at experimental resolution. However, the structure prediction of multi-domain proteins …
at experimental resolution. However, the structure prediction of multi-domain proteins …