Coarse-grained protein models and their applications

S Kmiecik, D Gront, M Kolinski, L Wieteska… - Chemical …, 2016 - ACS Publications
The traditional computational modeling of protein structure, dynamics, and interactions
remains difficult for many protein systems. It is mostly due to the size of protein …

Biomolecular modeling thrives in the age of technology

T Schlick, S Portillo-Ledesma - Nature computational science, 2021 - nature.com
The biomolecular modeling field has flourished since its early days in the 1970s due to the
rapid adaptation and tailoring of state-of-the-art technology. The resulting dramatic increase …

Improved protein structure prediction using potentials from deep learning

AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre… - Nature, 2020 - nature.com
Protein structure prediction can be used to determine the three-dimensional shape of a
protein from its amino acid sequence. This problem is of fundamental importance as the …

Transformer protein language models are unsupervised structure learners

R Rao, J Meier, T Sercu, S Ovchinnikov, A Rives - Biorxiv, 2020 - biorxiv.org
Unsupervised contact prediction is central to uncovering physical, structural, and functional
constraints for protein structure determination and design. For decades, the predominant …

AlphaFold at CASP13

M AlQuraishi - Bioinformatics, 2019 - academic.oup.com
Computational prediction of protein structure from sequence is broadly viewed as a
foundational problem of biochemistry and one of the most difficult challenges in …

[HTML][HTML] End-to-end differentiable learning of protein structure

M AlQuraishi - Cell systems, 2019 - cell.com
Predicting protein structure from sequence is a central challenge of biochemistry. Co-
evolution methods show promise, but an explicit sequence-to-structure map remains …

Protein structure determination using metagenome sequence data

S Ovchinnikov, H Park, N Varghese, PS Huang… - Science, 2017 - science.org
Despite decades of work by structural biologists, there are still~ 5200 protein families with
unknown structure outside the range of comparative modeling. We show that Rosetta …

Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment

MF Lensink, G Brysbaert, T Mauri… - Proteins: Structure …, 2021 - Wiley Online Library
We present the results for CAPRI Round 50, the fourth joint CASP‐CAPRI protein assembly
prediction challenge. The Round comprised a total of twelve targets, including six dimers …

Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions

SM Mortuza, W Zheng, C Zhang, Y Li, R Pearce… - Nature …, 2021 - nature.com
Sequence-based contact prediction has shown considerable promise in assisting non-
homologous structure modeling, but it often requires many homologous sequences and a …

Impact of AlphaFold on structure prediction of protein complexes: The CASP15‐CAPRI experiment

MF Lensink, G Brysbaert, N Raouraoua… - Proteins: Structure …, 2023 - Wiley Online Library
We present the results for CAPRI Round 54, the 5th joint CASP‐CAPRI protein assembly
prediction challenge. The Round offered 37 targets, including 14 homodimers, 3 homo …