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References from pLM-HP: Peptide hormone prediction using pre-trained protein language model representations. Local targets link to admitted publications; unresolved targets remain external evidence.
Peptidomics
10.1038/s43586-023-00205-2 · 2023 · External reference
Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides
10.1093/bib/bbae275 · 2024 · External reference
A review of drug-related associations prediction based on artificial intelligence methods
10.2174/1574893618666230707123817 · 2024 · External reference
Understanding peptide hormones: from precursor proteins to bioactive molecules
10.1016/j.tibs.2025.03.014 · 2025 · External reference
Combining mass spectrometry and machine learning to discover bioactive peptides
10.1038/s41467-022-34031-z · 2022 · External reference
Advances in Deep Learning Assisted Drug Discovery Methods: a Self-review
10.2174/0115748936285690240101041704 · 2024 · External reference
Bioinformatics Perspective of Drug Repurposing
10.2174/0115748936264692230921071504 · 2024 · External reference
Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework
10.1038/s42256-022-00557-6 · 2022 · External reference
Functional Representation of Enzymes by specific Peptides
10.1371/journal.pcbi.0030167 · 2007 · External reference
Hmrbase2: a comprehensive database of hormones and their receptors
10.1007/s42000-023-00455-5 · 2023 · External reference
HORDB a comprehensive database of peptide hormones
10.1038/s41597-022-01287-5 · 2022 · External reference
Prediction of peptide hormones using an ensemble of machine learning and similarity-based methods
2024 · External reference
Gwang Lee. mHPpred: Accurate identification of peptide hormones using multi-view feature learning
10.1016/j.compbiomed.2024.109297 · 2024 · External reference
CFCN: an HLA-peptide Prediction Model based on Taylor Extension Theory and Multi-view Learning
10.2174/0115748936299044240202100019 · 2024 · External reference
DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis
10.1093/nar/gkad055 · 2023 · External reference
TPpred-SC: multi-functional therapeutic peptide prediction based on multi-label supervised contrastive learning
10.1007/s11432-024-4147-8 · 2024 · External reference
ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning
10.1093/bioinformatics/btac006 · 2022 · External reference
deepAMPNet: a novel antimicrobial peptide predictor employing AlphaFold2 predicted structures and a bi-directional long short-term memory protein language model
10.7717/peerj.17729 · 2024 · External reference
xDeep-AcPEP: Deep Learning Method for Anticancer Peptide activity Prediction based on Convolutional Neural Network and Multitask Learning
10.1021/acs.jcim.1c00181 · 2021 · External reference
BioSeq-BLM: a platform for analyzing DNA, RNA, and protein sequences based on biological language models
10.1093/nar/gkab829 · 2021 · External reference
ProtTrans: Toward Understanding the Language of Life through Self-Supervised Learning
10.1109/tpami.2021.3095381 · 2022 · External reference
Evolutionary-scale prediction of atomic-level protein structure with a language model
10.1126/science.ade2574 · 2023 · External reference
10.1073/pnas.2016239118
10.1073/pnas.2016239118 · External reference
AI Methods for Antimicrobial Peptides: Progress and challenges
2025 · External reference
SBSM-Pro: support bio-sequence machine for proteins
10.1007/s11432-024-4171-9 · 2024 · External reference
From intention to implementation: automating biomedical research via LLMs
10.1007/s11432-024-4485-0 · 2025 · External reference
A Foundation Model Identifies Broad-Spectrum Antimicrobial Peptides against Drug-Resistant Bacterial Infection
10.1038/s41467-024-51933-2 · 2024 · External reference
Self-supervised learning in drug discovery
10.1007/s11432-024-4453-4 · 2025 · External reference
BioSeq-Analysis2.0: an updated platform for analyzing DNA, RNA and protein sequences at sequence level and residue level based on machine learning approaches
10.1093/nar/gkz740 · 2019 · External reference
Integrating Embeddings from Multiple Protein Language Models to Improve Protein O-GlcNAc Site Prediction
10.3390/ijms242116000 · 2023 · External reference
PeptideBERT: A Language Model Based on Transformers for Peptide Property Prediction
10.1021/acs.jpclett.3c02398 · 2023 · External reference
Transfer learning on protein language models improves antimicrobial peptide classification
10.1038/s41598-025-21223-y · 2025 · External reference
HyPepTox-Fuse: An interpretable hybrid framework for accurate peptide toxicity prediction fusing protein language model-based embeddings with conventional descriptors
10.1016/j.jpha.2025.101410 · 2025 · External reference
Validating the Distinctiveness of the Omicron Lineage within the SARS-CoV-2 based on Protein Language Models
10.2174/0115748936291075240409080924 · 2025 · External reference
CD-HIT: accelerated for clustering the next-generation sequencing data
10.1093/bioinformatics/bts565 · 2012 · External reference
PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows
10.1038/embor.2008.56 · 2008 · External reference
Long short-term memory
10.1162/neco.1997.9.8.1735 · 1997 · External reference
AnnoPRO: a strategy for protein function annotation based on multi-scale protein representation and a hybrid deep learning of dual-path encoding
10.1186/s13059-024-03166-1 · 2024 · External reference
Single-sequence protein structure prediction using supervised transformer protein language models
10.1038/s43588-022-00373-3 · 2022 · External reference
Localization free super-resolution microbubble velocimetry using a long short-term memory neural network
10.1109/tmi.2023.3251197 · 2023 · External reference
Improving prediction performance of general protein language model by domain-adaptive pretraining on DNA-binding protein
10.1038/s41467-024-52293-7 · 2024 · External reference
Deep-STP: a deep learning-based approach to predict snake toxin proteins by using word embeddings
10.3389/fmed.2023.1291352 · 2024 · External reference
Advances in Protein-Ligand Binding Affinity Prediction via Deep Learning: a Comprehensive Study of Datasets, Data Preprocessing Techniques, and Model Architectures
10.2174/0113894501330963240905083020 · 2024 · External reference
Robust Tensor Subspace Learning for Incomplete Multi-View Clustering
10.1109/tkde.2024.3399707 · 2024 · External reference
Multi-view unsupervised feature selection with tensor robust principal component analysis and consensus graph learning
10.1016/j.patcog.2023.109632 · 2023 · External reference
A self-conformation-aware pre-training framework for molecular property prediction with substructure interpretability
10.1038/s41467-025-59634-0 · 2025 · External reference
Colorectal Liver Metastasis Pathomics Model (CLMPM): Integrating Single cell and Spatial Transcriptome Analysis with Pathomics for Predicting Liver Metastasis in Colorectal Cancer
2025 · External reference
Computational approaches for predicting drug-disease associations: a comprehensive review
2025 · External reference
Accurate RNA velocity estimation based on multibatch network reveals complex lineage in batch scRNA-seq data
10.1186/s12915-024-02085-8 · 2024 · External reference
Highly accurate estimation of cell type abundance in bulk tissues based on single‐cell reference and domain adaptive matching
10.1002/advs.202306329 · 2024 · External reference
xBitterT5: an explainable transformer-based framework with multimodal inputs for identifying bitter-taste peptides
10.1186/s13321-025-01078-1 · 2025 · External reference
RepliChrom: Interpretable machine learning predicts cancer-associated enhancer-promoter interactions using DNA replication timing
10.1002/imt2.70052 · 2025 · External reference
iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
10.1093/nar/gkab122 · 2021 · External reference
