A survey on extraction of causal relations from natural language text

J Yang, SC Han, J Poon - Knowledge and Information Systems, 2022 - Springer
As an essential component of human cognition, cause–effect relations appear frequently in
text, and curating cause–effect relations from text helps in building causal networks for …

iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities

J Xu, F Li, C Li, X Guo, C Landersdorfer… - Briefings in …, 2023 - academic.oup.com
Antimicrobial peptides (AMPs) are short peptides that play crucial roles in diverse biological
processes and have various functional activities against target organisms. Due to the abuse …

mACPpred 2.0: Stacked deep learning for anticancer peptide prediction with integrated spatial and probabilistic feature representations

VK Sangaraju, NT Pham, L Wei, X Yu… - Journal of Molecular …, 2024 - Elsevier
Anticancer peptides (ACPs), naturally occurring molecules with remarkable potential to
target and kill cancer cells. However, identifying ACPs based solely from their primary amino …

Novel and alternative therapeutic strategies for controlling avian viral infectious diseases: Focus on infectious bronchitis and avian influenza

G Abbas, J Yu, G Li - Frontiers in Veterinary Science, 2022 - frontiersin.org
The growth of poultry farming has enabled higher spread of infectious diseases and their
pathogens among different kinds of birds, such as avian infectious bronchitis virus (IBV) and …

[HTML][HTML] Protein language models and machine learning facilitate the identification of antimicrobial peptides

D Medina-Ortiz, S Contreras, D Fernández… - International Journal of …, 2024 - mdpi.com
Peptides are bioactive molecules whose functional versatility in living organisms has led to
successful applications in diverse fields. In recent years, the amount of data describing …

Anti-breast cancer synthetic peptides derived from the Anabastestudineus skin mucus fractions

AAK Najm, A Azfaralariff, HRE Dyari, BA Othman… - Scientific Reports, 2021 - nature.com
Previous study has shown the antimicrobial activities of mucus protein extracted from
Anabas testudineus. In this study, we are interested in characterizing the anticancer activity …

Antibacterial Effect of Sesame Protein-Derived Peptides against Escherichia coli and Staphylococcus aureus: In Silico and In Vitro Analysis

Z Zhu, F Pan, O Wang, L Zhao, L Zhao - Nutrients, 2024 - mdpi.com
This study aimed to screen out antibacterial peptides derived from sesame (Sesamum
indicum L.) through in silico and in vitro methods. In silico proteolysis of sesame proteins …

MPMABP: a CNN and Bi-LSTM-Based method for predicting multi-activities of bioactive peptides

Y Li, X Li, Y Liu, Y Yao, G Huang - Pharmaceuticals, 2022 - mdpi.com
Bioactive peptides are typically small functional peptides with 2–20 amino acid residues and
play versatile roles in metabolic and biological processes. Bioactive peptides are multi …

Diff-AMP: tailored designed antimicrobial peptide framework with all-in-one generation, identification, prediction and optimization

R Wang, T Wang, L Zhuo, J Wei, X Fu… - Briefings in …, 2024 - academic.oup.com
Antimicrobial peptides (AMPs), short peptides with diverse functions, effectively target and
combat various organisms. The widespread misuse of chemical antibiotics has led to …

Integrating reduced amino acid composition into PSSM for improving copper ion-binding protein prediction

S Liu, Y Liang, J Li, S Yang, M Liu, C Liu… - International Journal of …, 2023 - Elsevier
Copper ion-binding proteins play an essential role in metabolic processes and are critical
factors in many diseases, such as breast cancer, lung cancer, and Menkes disease. Many …