Specific Focus on Antifungal Peptides against Azole Resistant Aspergillus fumigatus: Current Status, Challenges, and Future Perspectives

DA Pimienta, FE Cruz Mosquera, I Palacios Velasco… - Journal of Fungi, 2022 - mdpi.com
The prevalence of fungal infections is increasing worldwide, especially that of aspergillosis,
which previously only affected people with immunosuppression. Aspergillus fumigatus can …

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 …

Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning

M Njirjak, L Žužić, M Babić, P Janković… - Nature machine …, 2024 - nature.com
Supramolecular peptide-based materials have great potential for revolutionizing fields like
nanotechnology and medicine. However, deciphering the intricate sequence-to-assembly …

Antiviral peptide-based conjugates: State of the art and future perspectives

T Todorovski, D Kalafatovic, D Andreu - Pharmaceutics, 2023 - mdpi.com
Infectious diseases caused by microbial pathogens (bacteria, virus, fungi, parasites) claim
millions of deaths per year worldwide and have become a serious challenge to global …

Deep learning-based multi-functional therapeutic peptides prediction with a multi-label focal dice loss function

H Fan, W Yan, L Wang, J Liu, Y Bin, J Xia - Bioinformatics, 2023 - academic.oup.com
Motivation With the great number of peptide sequences produced in the postgenomic era, it
is highly desirable to identify the various functions of therapeutic peptides quickly …

SVSBI: sequence-based virtual screening of biomolecular interactions

L Shen, H Feng, Y Qiu, GW Wei - Communications biology, 2023 - nature.com
Virtual screening (VS) is a critical technique in understanding biomolecular interactions,
particularly in drug design and discovery. However, the accuracy of current VS models …

Establishing Quantifiable Guidelines for Antimicrobial α/β-Peptide Design: A Partial Least-Squares Approach to Improve Antimicrobial Activity and Reduce Mammalian …

DH Chang, MR Lee, N Wang, DM Lynn… - ACS Infectious …, 2023 - ACS Publications
Antimicrobial peptides (AMPs) are promising candidates to combat pathogens that are
resistant to conventional antimicrobial drugs because they operate through mechanisms that …

LDS-CNN: A deep learning framework for drug-target interactions prediction based on large-scale drug screening

Y Wang, Z Zhang, C Piao, Y Huang, Y Zhang… - … Information Science and …, 2023 - Springer
Background Drug-target interaction (DTI) is a vital drug design strategy that plays a
significant role in many processes of complex diseases and cellular events. In the face of …

Reinforcement learning-driven exploration of peptide space: accelerating generation of drug-like peptides

Q Wang, X Hu, Z Wei, H Lu, H Liu - Briefings in bioinformatics, 2024 - academic.oup.com
Using amino acid residues in peptide generation has solved several key problems,
including precise control of amino acid sequence order, customized peptides for property …

[HTML][HTML] Design of a machine learning-aided screening framework for antibiofilm peptides

HC Puchakayala, P Bhatnagar, P Nambiar… - Digital Chemical …, 2023 - Elsevier
Biofilms are formed by multicellular colonies of microorganisms that are protected by hard
extracellular matrices. Eradication of biofilms is a challenging task due to their recalcitrant …