AIMC Topic: Peptides

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Identification of Polymeric Nanoparticles Using Strategic Peptide Sensor Configurations and Machine Learning.

ACS sensors
Environmental pollution by miniaturized plastics such as micro- and nanoplastics continues to escalate, posing serious risks to ecosystems and human health. Therefore, there is an urgent need to detect or identify the plastics. Although the technique...

Self-assembling peptide hydrogels: design, mechanisms, characterization, and biomedical applications.

Soft matter
Self-assembled peptide hydrogels have emerged as a research frontier in biomedical engineering due to their exceptional water-retention capacity and spatiotemporal drug release kinetics. Researchers can fabricate biomaterials with customizable struct...

Discovery of Novel Anti-Acetylcholinesterase Peptides Using a Machine Learning and Molecular Docking Approach.

Drug design, development and therapy
OBJECTIVE: Alzheimer's disease poses a significant threat to human health. Currenttherapeutic medicines, while alleviate symptoms, fail to reverse the disease progression or reduce its harmful effects, and exhibit toxicity and side effects such as ga...

AVP-HNCL: Innovative Contrastive Learning with a Queue-Based Negative Sampling Strategy for Dual-Phase Antiviral Peptide Prediction.

Journal of chemical information and modeling
Viral infections have long been a core focus in the field of public health. Antiviral peptides (AVPs), due to their unique mechanisms of action and significant inhibitory effects against a wide range of viruses, exhibit tremendous potential in protec...

AI, docking, and molecular dynamics to track the binding of structural peptides to different keratin models.

International journal of biological macromolecules
The present work shows a computational approach to assess the interactions of different nature-inspired peptides with hair keratin models. An updated keratin model was validated, and comparisons with previous models were traced, thereby highlighting ...

Novel Computational Approaches in the Discovery and Identification of Bioactive Peptides: A Bioinformatics Perspective.

Journal of agricultural and food chemistry
Bioactive peptides are protein molecules known for their specific biological functions, offering promising applications across various fields including medicine, food, and cosmetics. Traditional approaches to the investigation of bioactive peptides t...

Immunopeptidomics-guided discovery and characterization of neoantigens for personalized cancer immunotherapy.

Science advances
Neoantigens have emerged as ideal targets for personalized cancer immunotherapy. We depict the pan-cancer peptide atlas by comprehensively collecting immunopeptidomics from 531 samples across 14 cancer and 29 normal tissues, and identify 389,165 cano...

Assessing the generalization capabilities of TCR binding predictors via peptide distance analysis.

PloS one
Understanding the interaction between T Cell Receptors (TCRs) and peptide-bound Major Histocompatibility Complexes (pMHCs) is crucial for comprehending immune responses and developing targeted immunotherapies. While recent machine learning (ML) model...

Design of diverse, functional mitochondrial targeting sequences across eukaryotic organisms using variational autoencoder.

Nature communications
Mitochondria play a key role in energy production and metabolism, making them a promising target for metabolic engineering and disease treatment. However, despite the known influence of passenger proteins on localization efficiency, only a few protei...

Dual-Site Targeting by Peptide Inhibitors of the N-Terminal Domain of Hsp90: Mechanism and Design.

Journal of chemical information and modeling
Heat shock protein 90 (Hsp90) is a pivotal molecular chaperone crucial in the maturation of client proteins, positioning it as a significant target for cancer therapy. However, the design of effective Hsp90 inhibitors presents substantial challenges ...