Coarse-grained protein models and their applications
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 …
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 …
rapid adaptation and tailoring of state-of-the-art technology. The resulting dramatic increase …
Improved protein structure prediction using potentials from deep learning
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 …
protein from its amino acid sequence. This problem is of fundamental importance as the …
Transformer protein language models are unsupervised structure learners
Unsupervised contact prediction is central to uncovering physical, structural, and functional
constraints for protein structure determination and design. For decades, the predominant …
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 …
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 …
evolution methods show promise, but an explicit sequence-to-structure map remains …
Protein structure determination using metagenome sequence data
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 …
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 …
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
Sequence-based contact prediction has shown considerable promise in assisting non-
homologous structure modeling, but it often requires many homologous sequences and a …
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
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 …
prediction challenge. The Round offered 37 targets, including 14 homodimers, 3 homo …