Protein design via deep learning
Proteins with desired functions and properties are important in fields like nanotechnology
and biomedicine. De novo protein design enables the production of previously unseen …
and biomedicine. De novo protein design enables the production of previously unseen …
Protein structure prediction in the deep learning era
Significant advances have been achieved in protein structure prediction, especially with the
recent development of the AlphaFold2 and the RoseTTAFold systems. This article reviews …
recent development of the AlphaFold2 and the RoseTTAFold systems. This article reviews …
Improved protein structure prediction using a new multi‐scale network and homologous templates
The accuracy of de novo protein structure prediction has been improved considerably in
recent years, mostly due to the introduction of deep learning techniques. In this work …
recent years, mostly due to the introduction of deep learning techniques. In this work …
Complex structure and activation mechanism of arginine kinase McsB by McsA
K Lu, B Luo, X Tao, Y Luo, M Ao, B Zheng, X Xu… - Nature Chemical …, 2024 - nature.com
Protein phosphorylation is a pivotal post-translational modification modulating various
cellular processes. In Gram-positive bacteria, the protein arginine kinase McsB, along with …
cellular processes. In Gram-positive bacteria, the protein arginine kinase McsB, along with …
Mechanistic insights into the enzymatic activity of E3 ligase HOIL-1L and its regulation by the linear ubiquitin chain binding
X Xu, Y Wang, Y Zhang, Y Wang, Y Yin, C Peng… - Science …, 2023 - science.org
Heme-oxidized IRP2 ubiquitin ligase 1 (HOIL-1L) serves as a unique E3 ligase to catalyze
the mono-ubiquitination of relevant protein or sugar substrates and plays vital roles in …
the mono-ubiquitination of relevant protein or sugar substrates and plays vital roles in …
TMEM161B regulates cerebral cortical gyration, Sonic Hedgehog signaling, and ciliary structure in the developing central nervous system
SK Akula, JH Marciano, Y Lim… - Proceedings of the …, 2023 - National Acad Sciences
Sonic hedgehog signaling regulates processes of embryonic development across multiple
tissues, yet factors regulating context-specific Shh signaling remain poorly understood …
tissues, yet factors regulating context-specific Shh signaling remain poorly understood …
Study on the saltiness-enhancing mechanism of chicken-derived umami peptides by sensory evaluation and molecular docking to transmembrane channel-like …
J Zhang, W He, L Liang, B Sun, Y Zhang - Food Research International, 2024 - Elsevier
The previously obtained chicken-derived umami peptides in the laboratory were evaluated
for their saltiness-enhancing effect by sensory evaluation and S-curve, and the results …
for their saltiness-enhancing effect by sensory evaluation and S-curve, and the results …
Drugood: Out-of-distribution dataset curator and benchmark for ai-aided drug discovery–a focus on affinity prediction problems with noise annotations
AI-aided drug discovery (AIDD) is gaining popularity due to its potential to make the search
for new pharmaceuticals faster, less expensive, and more effective. Despite its extensive use …
for new pharmaceuticals faster, less expensive, and more effective. Despite its extensive use …
Inter-domain distance prediction based on deep learning for domain assembly
F Ge, C Peng, X Cui, Y Xia… - Briefings in Bioinformatics, 2023 - academic.oup.com
AlphaFold2 achieved a breakthrough in protein structure prediction through the end-to-end
deep learning method, which can predict nearly all single-domain proteins at experimental …
deep learning method, which can predict nearly all single-domain proteins at experimental …
Recent progress of protein tertiary structure prediction
The prediction of three-dimensional (3D) protein structure from amino acid sequences has
stood as a significant challenge in computational and structural bioinformatics for decades …
stood as a significant challenge in computational and structural bioinformatics for decades …