AIMC Topic: Peptides

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Deep-AVPpred: Artificial Intelligence Driven Discovery of Peptide Drugs for Viral Infections.

IEEE journal of biomedical and health informatics Oct 4, 2022
Rapid increase in viral outbreaks has resulted in the spread of viral diseases in diverse species and across geographical boundaries. The zoonotic viral diseases have greatly affected the well-being of humans, and the COVID-19 pandemic is a burning e...
Pandemics COVID-19 Artificial Intelligence Antiviral Agents Interferons Peptides Animals Humans
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Producing chemically accurate atomic Gaussian process regression models by active learning for molecular simulation.

Journal of computational chemistry Sep 27, 2022
Machine learning is becoming increasingly more important in the field of force field development. Never has it been more vital to have chemically accurate machine learning potentials because force fields become more sophisticated and their applicatio...
Computer Simulation Peptides Machine Learning Glycine
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AntiMF: A deep learning framework for predicting anticancer peptides based on multi-view feature extraction.

Methods (San Diego, Calif.) Sep 11, 2022
In recent years, anticancer peptides have emerged as a new viable option in cancer therapy, with the ability to overcome the considerable side effects and poor outcomes of standard cancer therapies. Accurate anticancer peptide identification can faci...
Peptides Neoplasms Deep Learning Humans Machine Learning
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Deep Learning-Based Label-Free Surface-Enhanced Raman Scattering Screening and Recognition of Small-Molecule Binding Sites in Proteins.

Analytical chemistry Aug 15, 2022
Identification of small-molecule binding sites in proteins is of great significance in analysis of protein function and drug design. Modified sites can be recognized via proteolytic cleavage followed by liquid chromatography-mass spectrometry (LC-MS)...
Binding Sites Tandem Mass Spectrometry Spectrum Analysis, Raman Proteins Deep Learning Peptides
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Impact of ANN in Revealing of Viral Peptides.

BioMed research international Aug 8, 2022
All organisms contain antimicrobial peptides (AMPs), which are a critical component of the innate immune system. These chemicals have the ability to suppress the growth of a variety of fungi, bacteria, and viruses. Because AMPs interact with structur...
Peptides Antifungal Agents Algorithms Computer Simulation Neural Networks, Computer
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DeepSeqPanII: An Interpretable Recurrent Neural Network Model With Attention Mechanism for Peptide-HLA Class II Binding Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2022
Human leukocyte antigen (HLA) complex molecules play an essential role in immune interactions by presenting peptides on the cell surface to T cells. With significant deep learning progress, a series of neural network-based models have been proposed a...
HLA Antigens Neural Networks, Computer Protein Binding Humans Peptides Histocompatibility Antigens Class I
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From data to noise to data for mixing physics across temperatures with generative artificial intelligence.

Proceedings of the National Academy of Sciences of the United States of America Aug 4, 2022
Using simulations or experiments performed at some set of temperatures to learn about the physics or chemistry at some other arbitrary temperature is a problem of immense practical and theoretical relevance. Here we develop a framework based on stati...
Molecular Dynamics Simulation RNA Peptides Physics Temperature Artificial Intelligence
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cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model.

Artificial intelligence in medicine Jul 6, 2022
Cancer is a Toxic health concern worldwide, it happens when cellular modifications cause the irregular growth and division of human cells. Several traditional approaches such as therapies and wet laboratory-based methods have been applied to treat ca...
Software Neural Networks, Computer Amino Acid Sequence Peptides Humans
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Sequential Properties Representation Scheme for Recurrent Neural Network-Based Prediction of Therapeutic Peptides.

Journal of chemical information and modeling Jun 15, 2022
The discovery of therapeutic peptides is often accelerated by means of virtual screening supported by machine learning-based predictive models. The predictive performance of such models is sensitive to the choice of data and its representation scheme...
Amino Acids Peptides Machine Learning Algorithms Neural Networks, Computer
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Multi-Branch-CNN: Classification of ion channel interacting peptides using multi-branch convolutional neural network.

Computers in biology and medicine Jun 8, 2022
Ligand peptides that have high affinity for ion channels are critical for regulating ion flux across the plasma membrane. These peptides are now being considered as potential drug candidates for many diseases, such as cardiovascular disease and cance...
Potassium Sodium Peptides Neural Networks, Computer Ion Channels
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