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ToxinPred 3.0: An improved method for predicting the toxicity of peptides
Toxicity emerges as a prominent challenge in the design of therapeutic peptides, causing
the failure of numerous peptides during clinical trials. In 2013, our group developed …
the failure of numerous peptides during clinical trials. In 2013, our group developed …
[HTML][HTML] Exploring the Chemical Features and Biomedical Relevance of Cell-Penetrating Peptides
LM Moreno-Vargas, D Prada-Gracia - International Journal of Molecular …, 2024 - mdpi.com
Cell-penetrating peptides (CPPs) are a diverse group of peptides, typically composed of 4 to
40 amino acids, known for their unique ability to transport a wide range of substances—such …
40 amino acids, known for their unique ability to transport a wide range of substances—such …
DPI_CDF: druggable protein identifier using cascade deep forest
Background Drug targets in living beings perform pivotal roles in the discovery of potential
drugs. Conventional wet-lab characterization of drug targets is although accurate but …
drugs. Conventional wet-lab characterization of drug targets is although accurate but …
DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists
N Schaduangrat, N Anuwongcharoen… - Journal of …, 2023 - Springer
Drug resistance represents a major obstacle to therapeutic innovations and is a prevalent
feature in prostate cancer (PCa). Androgen receptors (ARs) are the hallmark therapeutic …
feature in prostate cancer (PCa). Androgen receptors (ARs) are the hallmark therapeutic …
PLMACPred prediction of anticancer peptides based on protein language model and wavelet denoising transformation
Anticancer peptides (ACPs) perform a promising role in discovering anti-cancer drugs. The
growing research on ACPs as therapeutic agent is increasing due to its minimal side effects …
growing research on ACPs as therapeutic agent is increasing due to its minimal side effects …
Peptide classification landscape: An in-depth systematic literature review on peptide types, databases, datasets, predictors architectures and performance
Peptides are gaining significant attention in diverse fields such as the pharmaceutical
market has seen a steady rise in peptide-based therapeutics over the past six decades …
market has seen a steady rise in peptide-based therapeutics over the past six decades …
PredAoDP: Accurate identification of antioxidant proteins by fusing different descriptors based on evolutionary information with support vector machine
Antioxidant proteins play a vital role in diseases prevention caused by free radical
intermediates. Accurate identification of antioxidant proteins may provide significant clues to …
intermediates. Accurate identification of antioxidant proteins may provide significant clues to …
ACP-ML: A sequence-based method for anticancer peptide prediction
J Bian, X Liu, G Dong, C Hou, S Huang… - Computers in Biology and …, 2024 - Elsevier
Cancer is a serious malignant tumor and is difficult to cure. Chemotherapy, as a primary
treatment for cancer, causes significant harm to normal cells in the body and is often …
treatment for cancer, causes significant harm to normal cells in the body and is often …
[HTML][HTML] StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features
Host defense or antimicrobial peptides (AMPs) are promising candidates for protecting host
against microbial pathogens for example bacteria, virus, fungi, yeast. Defensins are the type …
against microbial pathogens for example bacteria, virus, fungi, yeast. Defensins are the type …
A computational predictor for Accurate Identification of Tumor homing peptides by integrating sequential and deep BiLSTM features
Cancer remains a severe illness, and current research indicates that tumor homing peptides
(THPs) play an important part in cancer therapy. The identification of THPs can provide …
(THPs) play an important part in cancer therapy. The identification of THPs can provide …