The impact of AlphaFold Protein Structure Database on the fields of life sciences
M Varadi, S Velankar - Proteomics, 2023 - Wiley Online Library
Arguably, 2020 was the year of high‐accuracy protein structure predictions, with AlphaFold
2.0 achieving previously unseen accuracy in the Critical Assessment of Protein Structure …
2.0 achieving previously unseen accuracy in the Critical Assessment of Protein Structure …
Novel machine learning approaches revolutionize protein knowledge
Breakthrough methods in machine learning (ML), protein structure prediction, and novel
ultrafast structural aligners are revolutionizing structural biology. Obtaining accurate models …
ultrafast structural aligners are revolutionizing structural biology. Obtaining accurate models …
Conformational ensembles of the human intrinsically disordered proteome
Intrinsically disordered proteins and regions (collectively, IDRs) are pervasive across
proteomes in all kingdoms of life, help to shape biological functions and are involved in …
proteomes in all kingdoms of life, help to shape biological functions and are involved in …
A hairpin motif in the amyloid-β peptide is important for formation of disease-related oligomers
The amyloid-β (Aβ) peptide is associated with the development of Alzheimer's disease and
is known to form highly neurotoxic prefibrillar oligomeric aggregates, which are difficult to …
is known to form highly neurotoxic prefibrillar oligomeric aggregates, which are difficult to …
Metapredict: a fast, accurate, and easy-to-use predictor of consensus disorder and structure
Intrinsically disordered proteins and protein regions make up a substantial fraction of many
proteomes in which they play a wide variety of essential roles. A critical first step in …
proteomes in which they play a wide variety of essential roles. A critical first step in …
AlphaFold2: a role for disordered protein/region prediction?
The development of AlphaFold2 marked a paradigm-shift in the structural biology
community. Herein, we assess the ability of AlphaFold2 to predict disordered regions …
community. Herein, we assess the ability of AlphaFold2 to predict disordered regions …
From interaction networks to interfaces, scanning intrinsically disordered regions using AlphaFold2
The revolution brought about by AlphaFold2 opens promising perspectives to unravel the
complexity of protein-protein interaction networks. The analysis of interaction networks …
complexity of protein-protein interaction networks. The analysis of interaction networks …
Alphadesign: A graph protein design method and benchmark on alphafolddb
While DeepMind has tentatively solved protein folding, its inverse problem--protein design
which predicts protein sequences from their 3D structures--still faces significant challenges …
which predicts protein sequences from their 3D structures--still faces significant challenges …
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 …
[HTML][HTML] The opportunities and challenges posed by the new generation of deep learning-based protein structure predictors
The function of proteins can often be inferred from their three-dimensional structures.
Experimental structural biologists spent decades studying these structures, but the …
Experimental structural biologists spent decades studying these structures, but the …