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AlphaFold2 and its applications in the fields of biology and medicine
Abstract AlphaFold2 (AF2) is an artificial intelligence (AI) system developed by DeepMind
that can predict three-dimensional (3D) structures of proteins from amino acid sequences …
that can predict three-dimensional (3D) structures of proteins from amino acid sequences …
The coral microbiome: towards an understanding of the molecular mechanisms of coral–microbiota interactions
Corals live in a complex, multipartite symbiosis with diverse microbes across kingdoms,
some of which are implicated in vital functions, such as those related to resilience against …
some of which are implicated in vital functions, such as those related to resilience against …
AlphaFold2 structures guide prospective ligand discovery
AlphaFold2 (AF2) models have had wide impact but mixed success in retrospective ligand
recognition. We prospectively docked large libraries against unrefined AF2 models of the σ2 …
recognition. We prospectively docked large libraries against unrefined AF2 models of the σ2 …
AlphaFold, allosteric, and orthosteric drug discovery: Ways forward
Highlights•AlphaFold models have rigid protein structures.•Advanced deep algorithms fed
relevant data can accurately predict structures.•Algorithmic advances can harness …
relevant data can accurately predict structures.•Algorithmic advances can harness …
Combining protein sequences and structures with transformers and equivariant graph neural networks to predict protein function
Motivation Millions of protein sequences have been generated by numerous genome and
transcriptome sequencing projects. However, experimentally determining the function of the …
transcriptome sequencing projects. However, experimentally determining the function of the …
Advances and challenges in biotechnological production of chondroitin sulfate and its oligosaccharides
Chondroitin sulfate (CS) is a member of glycosaminoglycans (GAGs) and has critical
physiological functions. CS is widely applied in medical and clinical fields. Currently, the …
physiological functions. CS is widely applied in medical and clinical fields. Currently, the …
Extremozymes: Challenges and Opportunities on the Road to Novel Enzymes Production.
Extremozymes, enzymes derived from extremophilic organisms, have gained significant
attention in industrial applications due to their remarkable resistance to extreme conditions …
attention in industrial applications due to their remarkable resistance to extreme conditions …
Advancing structural biology through breakthroughs in AI
The past century has witnessed an exponential increase in our atomic-level understanding
of molecular and cellular mechanisms from a structural perspective, with multiple landmark …
of molecular and cellular mechanisms from a structural perspective, with multiple landmark …
[HTML][HTML] Cell phenotypes can be predicted from propensities of protein conformations
Proteins exist as dynamic conformational ensembles. Here we suggest that the propensities
of the conformations can be predictors of cell function. The conformational states that the …
of the conformations can be predictors of cell function. The conformational states that the …
FuncPhos-STR: An integrated deep neural network for functional phosphosite prediction based on AlphaFold protein structure and dynamics
G Zhang, C Zhang, M Cai, C Luo, F Zhu… - International Journal of …, 2024 - Elsevier
Phosphorylation modifications play important regulatory roles in most biological processes.
However, the functional assignment for the vast majority of the identified phosphosites …
However, the functional assignment for the vast majority of the identified phosphosites …