AIMC Topic: Peptides

Clear Filters Showing 11 to 20 of 486 articles

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

Nature communications May 4, 2025
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...
Protein Transport Eukaryota Autoencoder Peptides Humans Mitochondria Animals
View on PubMed DOI

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

Journal of chemical information and modeling May 1, 2025
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 ...
Drug Design Protein Binding Peptides Molecular Docking Simulation Adenosine Triphosphate Humans Machine Learning Binding Sites HSP90 Heat-Shock Proteins Protein Domains Molecular Dynamics Simulation
View on PubMed DOI

Machine learning models for predicting configuration of modified knuckle epitope peptides of BMP-2 protein using mesoscale simulation data.

Physical chemistry chemical physics : PCCP Apr 30, 2025
The high doses of bone morphogenetic proteins (BMPs) cause undesired side effects in skeletal tissue regeneration. An alternative approach is to use the bioactive knuckle epitope domain of BMP-2 (BMP2-KEP) with an open-arm structure as part of the pr...
Quantitative Structure-Activity Relationship Bone Morphogenetic Protein 2 Epitopes Amino Acid Sequence Humans Peptides Models, Molecular Machine Learning
View on PubMed DOI

Dynamics and Machine Learning Reveal the Link between Tripeptide Sequences and Evaporation-Driven Material Properties.

Nano letters Apr 27, 2025
Previous research showed that a peptide composed of three tyrosines (YYY) can turn into organic glass and cause strong adhesion between substrates via evaporation. However, the mechanisms of these processes remain unclear, and the exploration of appl...
Amino Acid Sequence Dimethylpolysiloxanes Surface Properties Oligopeptides Hydrophobic and Hydrophilic Interactions Hydrogen Bonding Water Machine Learning Molecular Dynamics Simulation Peptides
View on PubMed DOI

Heterojunction nanofluidic memristors based on peptide chain valves for neuromorphic applications.

Biosensors & bioelectronics Apr 18, 2025
Memristors exhibit significant potential for neuromorphic computing due to their unique properties. This study introduces a heterojunction nanofluidic memristor (HJNFM) and explores its applications in simulating synapses and constructing neural netw...
Tin Compounds Equipment Design Molybdenum Nanotechnology Disulfides Nanostructures Peptides Neural Networks, Computer Biosensing Techniques
View on PubMed DOI

Topology-Enhanced Machine Learning Model (Top-ML) for Anticancer Peptide Prediction.

Journal of chemical information and modeling Apr 14, 2025
Recently, therapeutic peptides have demonstrated great promise for cancer treatment. To explore powerful anticancer peptides, artificial intelligence (AI)-based approaches have been developed to systematically screen potential candidates. However, th...
Antineoplastic Agents Machine Learning Peptides Humans
View on PubMed DOI

Peptide Property Prediction for Mass Spectrometry Using AI: An Introduction to State of the Art Models.

Proteomics Apr 10, 2025
This review explores state of the art machine learning and deep learning models for peptide property prediction in mass spectrometry-based proteomics, including, but not limited to, models for predicting digestibility, retention time, charge state di...
Deep Learning Proteomics Mass Spectrometry Machine Learning Peptides Humans
View on PubMed DOI

SeqNovo: De Novo Peptide Sequencing Prediction in IoMT via Seq2Seq.

IEEE journal of biomedical and health informatics Apr 4, 2025
In the Internet of Medical Things (IoMT), de novo peptide sequencing prediction is one of the most important techniques for the fields of disease prediction, diagnosis, and treatment. Recently, deep-learning-based peptide sequencing prediction has be...
Peptides Deep Learning Computational Biology Humans Algorithms Sequence Analysis, Protein
View on PubMed DOI

pACPs-DNN: Predicting anticancer peptides using novel peptide transformation into evolutionary and structure matrix-based images with self-attention deep learning model.

Computational biology and chemistry Mar 28, 2025
Globally, cancer remains a major health challenge due to its high mortality rates. Traditional experimental approaches and therapies are resource-intensive and often cause significant side effects. Anticancer peptides (ACPs) have emerged as alternati...
Peptides Antineoplastic Agents Deep Learning Humans Neural Networks, Computer
View on PubMed DOI

Learning the rules of peptide self-assembly through data mining with large language models.

Science advances Mar 26, 2025
Peptides are ubiquitous and important biomolecules that self-assemble into diverse structures. Although extensive research has explored the effects of chemical composition and exterior conditions on self-assembly, a systematic study consolidating the...
Databases, Protein Data Mining Algorithms Humans Peptides Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals