Research graph
References from ToxiPep: Peptide toxicity prediction via fusion of context-aware representation and atomic-level graph. Local targets link to admitted publications; unresolved targets remain external evidence.
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10.1111/cbdd.12055 · External reference
Peptide-based therapeutics: quality specifications, regulatory considerations, and prospects
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10.1111/bph.13608 · 2017 · External reference
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Peptides as drug candidates: limitations and recent development perspectives
2018 · External reference
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10.1038/s41392-022-00904-4 · 2022 · External reference
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10.3390/ph15030323 · External reference
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10.1039/b818082b · External reference
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10.1038/s41598-020-69995-9 · External reference
A rapid in vivo toxicity assessment method for antimicrobial peptides
10.3390/toxics12060387 · 2024 · External reference
Deep learning for advancing peptide drug development: tools and methods in structure prediction and design
2024 · External reference
Macppred 2.0: stacked deep learning for anticancer peptide prediction with integrated spatial and probabilistic feature representations
10.1016/j.jmb.2024.168687 · 2024 · External reference
10.1093/nar/25.17.3389
10.1093/nar/25.17.3389 · External reference
Functional classification of protein toxins as a basis for bioinformatic screening
10.1038/s41598-017-13957-1 · 2017 · External reference
Artificial intelligence and machine learning for protein toxicity prediction using proteomics data
10.1111/cbdd.13701 · 2020 · External reference
Bridging machine learning and peptide design for cancer treatment: a comprehensive review
2025 · External reference
Clantox: a classifier of short animal toxins
10.1093/nar/gkp299 · 2009 · External reference
10.1371/journal.pone.0073957
10.1371/journal.pone.0073957 · External reference
Atse: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism
10.1093/bib/bbab041 · 2021 · External reference
Toxdl: deep learning using primary structure and domain embeddings for assessing protein toxicity
2020 · External reference
Integrated convolution and self-attention for improving peptide toxicity prediction
10.1093/bioinformatics/btae297 · 2024 · External reference
10.1016/j.compbiomed.2024.108926
10.1016/j.compbiomed.2024.108926 · External reference
10.1016/s0734-9750(03)00077-6
10.1016/s0734-9750(03)00077-6 · External reference
Host-defense antimicrobial peptides: importance of structure for activity
10.2174/1381612023395358 · 2002 · External reference
10.1016/j.peptides.2003.08.023
10.1016/j.peptides.2003.08.023 · External reference
Antibacterial and antiviral properties of chenopodin-derived synthetic peptides
10.3390/antibiotics13010078 · 2024 · External reference
Peptide lipidation and shortening optimises antibacterial, antibiofilm and membranolytic actions of an amphiphilic polylysine-polyphenyalanine octapeptide
10.1016/j.crbiot.2024.100240 · 2024 · External reference
Dramp 4.0: an open-access data repository dedicated to the clinical translation of antimicrobial peptides
2024 · External reference
Dbamp 3.0: updated resource of antimicrobial activity and structural annotation of peptides in the post-pandemic era
2024 · External reference
10.1093/nar/gky1049
10.1093/nar/gky1049 · External reference
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10.1093/nar/gkg095 · External reference
10.1093/bioinformatics/btl158
10.1093/bioinformatics/btl158 · External reference
10.1093/bioinformatics/bty179
10.1093/bioinformatics/bty179 · External reference
Deepavp: a dual-channel deep neural network for identifying variable-length antiviral peptides
10.1109/jbhi.2020.2977091 · 2020 · External reference
Levenshtein distance, sequence comparison and biological database search
10.1109/tit.2020.2996543 · 2020 · External reference
Heterotcr: a heterogeneous graph neural network-based method for predicting peptide-tcr interaction
10.1038/s42003-024-06380-6 · 2024 · External reference
10.1093/nar/gkaa991
10.1093/nar/gkaa991 · External reference
Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides
10.1093/nar/gkt1008 · 2014 · External reference
Prediction of hemolytic peptides and their hemolytic concentration
10.1038/s42003-025-07615-w · 2025 · External reference
10.1016/j.neucom.2023.127063
10.1016/j.neucom.2023.127063 · 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
Unresolved reference
2020 · External reference
Structuraldppiv: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-iv inhibitory peptides
10.1093/bioinformatics/btae057 · 2024 · External reference
10.1016/j.medidd.2021.100081
10.1016/j.medidd.2021.100081 · External reference
Unresolved reference
External reference
10.1038/s41594-022-00849-w
10.1038/s41594-022-00849-w · External reference
Convolutional networks on graphs for learning molecular fingerprints
2015 · External reference
10.1021/acs.jcim.9b00237
10.1021/acs.jcim.9b00237 · External reference
Crossfuse: a novel cross attention mechanism based infrared and visible image fusion approach
10.1016/j.inffus.2023.102147 · 2024 · External reference
Cm-sirpred: predicting chemically modified sirna efficiency based on multi-view learning strategy
10.1016/j.ijbiomac.2024.130638 · 2024 · External reference
The advantages of the Matthews correlation coefficient (mcc) over f1 score and accuracy in binary classification evaluation
2020 · External reference
Multiple comparisons among means
10.1080/01621459.1961.10482090 · 1961 · External reference
10.1007/978-1-4612-4380-9_16
10.1007/978-1-4612-4380-9_16 · 1992 · External reference
10.1111/opo.12131
10.1111/opo.12131 · External reference
A fast algorithm for determining bounds and accurate approximate p-values of the rank product statistic for replicate experiments
2014 · External reference
Identifying antitubercular peptides via deep forest architecture with effective feature representation
10.1021/acs.analchem.3c04196 · 2024 · External reference
Analysis and prediction of highly effective antiviral peptides based on random forests
10.1371/journal.pone.0070166 · 2013 · External reference
Stackthpred: identifying tumor-homing peptides through gbdt-based feature selection with stacking ensemble architecture
10.3390/ijms241210348 · 2023 · External reference
Acp-ada: a boosting method with data augmentation for improved prediction of anticancer peptides
10.3390/ijms232012194 · 2022 · External reference
Therapeutic peptides identification via kernel risk sensitive loss-based k-nearest neighbor model and multi-laplacian regularization
10.1093/bib/bbae534 · 2024 · External reference
Cacpp: a contrastive learning-based Siamese network to identify anticancer peptides based on sequence only
10.1021/acs.jcim.3c00297 · 2023 · External reference
Siamesecpp: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning
10.1093/bib/bbac545 · 2023 · External reference
10.1126/science.ade2574
10.1126/science.ade2574 · External reference
Prottrans: toward understanding the language of life through self-supervised learning
10.1109/tpami.2021.3095381 · 2021 · External reference
Toxinpred2: an improved method for predicting toxicity of proteins
10.1093/bib/bbac174 · 2022 · External reference
Csm-toxin: a web-server for predicting protein toxicity
10.3390/pharmaceutics15020431 · 2023 · External reference
Pepnet: an interpretable neural network for anti-inflammatory and antimicrobial peptides prediction using a pre-trained protein language model
10.1038/s42003-024-06911-1 · 2024 · External reference
Statistical comparisons of classifiers over multiple data sets
2006 · External reference
Approximate statistical tests for comparing supervised classification learning algorithms
10.1162/089976698300017197 · 1998 · External reference
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10.21105/joss.00861 · External reference
10.1016/0377-0427(87)90125-7
10.1016/0377-0427(87)90125-7 · External reference
Unresolved reference
2016 · External reference
Comparison of the usefulness of mtt and celltiterglo tests applied for cytotoxicity evaluation of compounds from the group of polyphenols
2022 · External reference
Comparison of 3 cytotoxicity screening assays and their application to the selection of novel antibacterial hits
10.1177/1087057108329452 · 2009 · External reference
Antimicrobial peptide identified via machine learning presents both potent antibacterial properties and low toxicity toward human cells
10.3390/microorganisms12081682 · 2024 · External reference
10.3390/pharmaceutics6040557
10.3390/pharmaceutics6040557 · External reference
10.1016/j.addr.2011.11.010
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