AlphaFold2 and its applications in the fields of biology and medicine
Z Yang, X Zeng, Y Zhao, R Chen - Signal Transduction and Targeted …, 2023 - nature.com
Abstract AlphaFold2 (AF2) is an artificial intelligence (AI) system developed by DeepMind
that can predict three-dimensional (3D) structures of proteins from amino acid sequences …
that can predict three-dimensional (3D) structures of proteins from amino acid sequences …
The power and pitfalls of AlphaFold2 for structure prediction beyond rigid globular proteins
Artificial intelligence-driven advances in protein structure prediction in recent years have
raised the question: has the protein structure-prediction problem been solved? Here, with a …
raised the question: has the protein structure-prediction problem been solved? Here, with a …
AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences
M Varadi, D Bertoni, P Magana, U Paramval… - Nucleic acids …, 2024 - academic.oup.com
Abstract The AlphaFold Database Protein Structure Database (AlphaFold DB,
https://alphafold. ebi. ac. uk) has significantly impacted structural biology by amassing over …
https://alphafold. ebi. ac. uk) has significantly impacted structural biology by amassing over …
Efficient and accurate prediction of protein structure using RoseTTAFold2
AlphaFold2 and RoseTTAFold predict protein structures with very high accuracy despite
substantial architecture differences. We sought to develop an improved method combining …
substantial architecture differences. We sought to develop an improved method combining …
Sparks of function by de novo protein design
Abstract Information in proteins flows from sequence to structure to function, with each step
causally driven by the preceding one. Protein design is founded on inverting this process …
causally driven by the preceding one. Protein design is founded on inverting this process …
A new age in protein design empowered by deep learning
The rapid progress in the field of deep learning has had a significant impact on protein
design. Deep learning methods have recently produced a breakthrough in protein structure …
design. Deep learning methods have recently produced a breakthrough in protein structure …
Design of intrinsically disordered protein variants with diverse structural properties
Intrinsically disordered proteins (IDPs) perform a broad range of functions in biology,
suggesting that the ability to design IDPs could help expand the repertoire of proteins with …
suggesting that the ability to design IDPs could help expand the repertoire of proteins with …
[HTML][HTML] Cyclic peptide structure prediction and design using AlphaFold
SA Rettie, KV Campbell, AK Bera, A Kang, S Kozlov… - bioRxiv, 2023 - ncbi.nlm.nih.gov
Deep learning networks offer considerable opportunities for accurate structure prediction
and design of biomolecules. While cyclic peptides have gained significant traction as a …
and design of biomolecules. While cyclic peptides have gained significant traction as a …
Unlocking de novo antibody design with generative artificial intelligence
A Shanehsazzadeh, S Bachas, M McPartlon, G Kasun… - bioRxiv, 2023 - biorxiv.org
Generative artificial intelligence (AI) has the potential to greatly increase the speed, quality
and controllability of antibody design. Traditional de novo antibody discovery requires time …
and controllability of antibody design. Traditional de novo antibody discovery requires time …
Recent advances and challenges in protein structure prediction
Artificial intelligence has made significant advances in the field of protein structure prediction
in recent years. In particular, DeepMind's end-to-end model, AlphaFold2, has demonstrated …
in recent years. In particular, DeepMind's end-to-end model, AlphaFold2, has demonstrated …