ProtGPT2 is a deep unsupervised language model for protein design

N Ferruz, S Schmidt, B Höcker - Nature communications, 2022 - nature.com
Protein design aims to build novel proteins customized for specific purposes, thereby
holding the potential to tackle many environmental and biomedical problems. Recent …

Uncovering new families and folds in the natural protein universe

J Durairaj, AM Waterhouse, T Mets, T Brodiazhenko… - Nature, 2023 - nature.com
We are now entering a new era in protein sequence and structure annotation, with hundreds
of millions of predicted protein structures made available through the AlphaFold database …

[HTML][HTML] Evolution, folding, and design of TIM barrels and related proteins

S Romero-Romero, S Kordes, F Michel… - Current Opinion in …, 2021 - Elsevier
Highlights•In-depth sequence analysis reveals that the protein fold universe is more
evolutionarily connected than previously assumed.•Short ancestral fragments are observed …

Supervised machine learning methods applied to predict ligand-binding affinity

G S. Heck, V O. Pintro, R R. Pereira… - Current medicinal …, 2017 - benthamdirect.com
Background: Calculation of ligand-binding affinity is an open problem in computational
medicinal chemistry. The ability to computationally predict affinities has a beneficial impact …

Combinatorial assembly and design of enzymes

R Lipsh-Sokolik, O Khersonsky, SP Schröder… - Science, 2023 - science.org
The design of structurally diverse enzymes is constrained by long-range interactions that are
necessary for accurate folding. We introduce an atomistic and machine learning strategy for …

[图书][B] Introduction to proteins: structure, function, and motion

A Kessel, N Ben-Tal - 2018 - taylorfrancis.com
Introduction to Proteins provides a comprehensive and state-of-the-art introduction to the
structure, function, and motion of proteins for students, faculty, and researchers at all levels …

Unexpected features of the dark proteome

N Perdigão, J Heinrich, C Stolte… - Proceedings of the …, 2015 - National Acad Sciences
We surveyed the “dark” proteome–that is, regions of proteins never observed by
experimental structure determination and inaccessible to homology modeling. For 546,000 …

On the emergence of P-Loop NTPase and Rossmann enzymes from a Beta-Alpha-Beta ancestral fragment

LM Longo, J Jabłońska, P Vyas, M Kanade, R Kolodny… - Elife, 2020 - elifesciences.org
This article is dedicated to the memory of Michael G. Rossmann. Dating back to the last
universal common ancestor, P-loop NTPases and Rossmanns comprise the most ubiquitous …

Classification of domains in predicted structures of the human proteome

RD Schaeffer, J Zhang, LN Kinch… - Proceedings of the …, 2023 - National Acad Sciences
Recent advances in protein structure prediction have generated accurate structures of
previously uncharacterized human proteins. Identifying domains in these predicted …

Biophysical prediction of protein–peptide interactions and signaling networks using machine learning

JM Cunningham, G Koytiger, PK Sorger… - Nature methods, 2020 - nature.com
In mammalian cells, much of signal transduction is mediated by weak protein–protein
interactions between globular peptide-binding domains (PBDs) and unstructured peptidic …