[HTML][HTML] On the potential of machine learning to examine the relationship between sequence, structure, dynamics and function of intrinsically disordered proteins
K Lindorff-Larsen, BB Kragelund - Journal of Molecular Biology, 2021 - Elsevier
Intrinsically disordered proteins (IDPs) constitute a broad set of proteins with few uniting and
many diverging properties. IDPs—and intrinsically disordered regions (IDRs) interspersed …
many diverging properties. IDPs—and intrinsically disordered regions (IDRs) interspersed …
Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning
Accurately modeling the protein fitness landscapes holds great importance for protein
engineering. Pre-trained protein language models have achieved state-of-the-art …
engineering. Pre-trained protein language models have achieved state-of-the-art …
Invertebrate models untangle the mechanism of neurodegeneration in Parkinson's disease
A Surguchov - Cells, 2021 - mdpi.com
Parkinson's disease (PD) is the second most common neurodegenerative disease,
afflicting~ 10 million people worldwide. Although several genes linked to PD are currently …
afflicting~ 10 million people worldwide. Although several genes linked to PD are currently …
[HTML][HTML] Proteingym: Large-scale benchmarks for protein design and fitness prediction
Predicting the effects of mutations in proteins is critical to many applications, from
understanding genetic disease to designing novel proteins that can address our most …
understanding genetic disease to designing novel proteins that can address our most …
Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant classification
SR Padigepati, DA Stafford, CA Tan, MR Silvis… - Human Genetics, 2024 - Springer
As the adoption and scope of genetic testing continue to expand, interpreting the clinical
significance of DNA sequence variants at scale remains a formidable challenge, with a high …
significance of DNA sequence variants at scale remains a formidable challenge, with a high …
Plasticity of membrane binding by the central region of α-synuclein
C Navarro-Paya, M Sanz-Hernandez… - Frontiers in Molecular …, 2022 - frontiersin.org
Membrane binding by α-synuclein (αS), an intrinsically disordered protein whose
aggregation is associated with Parkinson's disease, is a key step in determining its …
aggregation is associated with Parkinson's disease, is a key step in determining its …
Spiers Memorial Lecture: Analysis and de novo design of membrane-interactive peptides
Membrane–peptide interactions play critical roles in many cellular and organismic functions,
including protection from infection, remodeling of membranes, signaling, and ion transport …
including protection from infection, remodeling of membranes, signaling, and ion transport …
Integrating deep mutational scanning and low-throughput mutagenesis data to predict the impact of amino acid variants
Background Evaluating the impact of amino acid variants has been a critical challenge for
studying protein function and interpreting genomic data. High-throughput experimental …
studying protein function and interpreting genomic data. High-throughput experimental …
Deep generative models for biology: represent, predict, design
P Notin - 2023 - ora.ox.ac.uk
Deep generative models have revolutionized the field of artificial intelligence, fundamentally
changing how we generate novel objects that imitate or extrapolate from training data, and …
changing how we generate novel objects that imitate or extrapolate from training data, and …
Enhancing the efficiency of protein language models with minimal wet-lab data through few-shot learning
Accurately modeling the protein fitness landscapes holds great importance for protein
engineering. Recently, due to their capacity and representation ability, pre-trained protein …
engineering. Recently, due to their capacity and representation ability, pre-trained protein …