AIMC Topic: Proteins

Clear Filters Showing 361 to 370 of 1967 articles

Prediction of protein structure and AI.

Journal of human genetics Jan 4, 2024
AlphaFold, an artificial intelligence (AI)-based tool for predicting the 3D structure of proteins, is now widely recognized for its high accuracy and versatility in the folding of human proteins. AlphaFold is useful for understanding structure-functi...
Artificial Intelligence Deep Learning Humans Models, Molecular Protein Conformation Computational Biology Proteins Mutation, Missense Protein Folding
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The Future of Machine Learning Within Target Identification: Causality, Reversibility, and Druggability.

Clinical pharmacology and therapeutics Jan 3, 2024
Proteins Humans Machine Learning
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DL-SPhos: Prediction of serine phosphorylation sites using transformer language model.

Computers in biology and medicine Jan 3, 2024
Serine phosphorylation plays a pivotal role in the pathogenesis of various cellular processes and diseases. Roughly 81% of human diseases have links to phosphorylation, and an overwhelming 86.4% of protein phosphorylation takes place at serine residu...
Serine Proteins Phosphorylation Amino Acid Sequence Mammals Neural Networks, Computer Animals Humans
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Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data.

Nature methods Jan 2, 2024
Leveraging iterative alignment search through genomic and metagenome sequence databases, we report the DeepMSA2 pipeline for uniform protein single- and multichain multiple-sequence alignment (MSA) construction. Large-scale benchmarks show that DeepM...
Sequence Alignment Computational Biology Proteins Deep Learning Algorithms Genomics
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ProSTAGE: Predicting Effects of Mutations on Protein Stability by Using Protein Embeddings and Graph Convolutional Networks.

Journal of chemical information and modeling Jan 2, 2024
Protein thermodynamic stability is essential to clarify the relationships among structure, function, and interaction. Therefore, developing a faster and more accurate method to predict the impact of the mutations on protein stability is helpful for p...
Neural Networks, Computer Protein Stability Protein Structure, Secondary Proteins Mutation
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Harnessing deep learning for enhanced ligand docking.

Trends in pharmacological sciences Dec 30, 2023
Ligand docking (LD), a technology for predicting protein-ligand (PL)-binding conformations and strengths, plays key roles in virtual screening (VS). However, the accuracy and speed of current LD methodologies remain suboptimal. Here, we discuss how d...
Protein Conformation Deep Learning Humans Protein Binding Proteins Molecular Docking Simulation Ligands
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Protein-Protein Interaction Site Prediction Based on Attention Mechanism and Convolutional Neural Networks.

IEEE/ACM transactions on computational biology and bioinformatics Dec 25, 2023
Proteins usually perform their cellular functions by interacting with other proteins. Accurate identification of protein-protein interaction sites (PPIs) from sequence is import for designing new drugs and developing novel therapeutics. A lot of comp...
Neural Networks, Computer Proteins
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Evaluation of DNA-protein complex structures using the deep learning method.

Physical chemistry chemical physics : PCCP Dec 21, 2023
Biological processes such as transcription, repair, and regulation require interactions between DNA and proteins. To unravel their functions, it is imperative to determine the high-resolution structures of DNA-protein complexes. However, experimental...
DNA Research Design Deep Learning Protein Binding Proteins Neural Networks, Computer
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De novo design of high-affinity binders of bioactive helical peptides.

Nature Dec 18, 2023
Many peptide hormones form an α-helix on binding their receptors, and sensitive methods for their detection could contribute to better clinical management of disease. De novo protein design can now generate binders with high affinity and specificity ...
Models, Molecular Peptides Luminescent Measurements Computer-Aided Design Glucagon Diffusion Substrate Specificity Deep Learning Parathyroid Hormone Mass Spectrometry Protein Structure, Secondary Biosensing Techniques Proteins
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A comparative study of protein structure prediction tools for challenging targets: Snake venom toxins.

Toxicon : official journal of the International Society on Toxinology Dec 17, 2023
Protein structure determination is a critical aspect of biological research, enabling us to understand protein function and potential applications. Recent advances in deep learning and artificial intelligence have led to the development of several pr...
Proteins Artificial Intelligence Snake Venoms Binding Sites Furylfuramide
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