Computational methods and tools in antimicrobial peptide research
PGA Aronica, LM Reid, N Desai, J Li… - Journal of Chemical …, 2021 - ACS Publications
The evolution of antibiotic-resistant bacteria is an ongoing and troubling development that
has increased the number of diseases and infections that risk going untreated. There is an …
has increased the number of diseases and infections that risk going untreated. There is an …
sAMPpred-GAT: prediction of antimicrobial peptide by graph attention network and predicted peptide structure
K Yan, H Lv, Y Guo, W Peng, B Liu - Bioinformatics, 2023 - academic.oup.com
Abstract Motivation Antimicrobial peptides (AMPs) are essential components of therapeutic
peptides for innate immunity. Researchers have developed several computational methods …
peptides for innate immunity. Researchers have developed several computational methods …
Antimicrobial and amyloidogenic activity of peptides. Can antimicrobial peptides be used against SARS-CoV-2?
SR Kurpe, SY Grishin, AK Surin, AV Panfilov… - International Journal of …, 2020 - mdpi.com
At present, much attention is paid to the use of antimicrobial peptides (AMPs) of natural and
artificial origin to combat pathogens. AMPs have several points that determine their …
artificial origin to combat pathogens. AMPs have several points that determine their …
dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data
The last 18 months, or more, have seen a profound shift in our global experience, with many
of us navigating a once-in-100-year pandemic. To date, COVID-19 remains a life …
of us navigating a once-in-100-year pandemic. To date, COVID-19 remains a life …
Anticancer peptides prediction with deep representation learning features
Anticancer peptides constitute one of the most promising therapeutic agents for combating
common human cancers. Using wet experiments to verify whether a peptide displays …
common human cancers. Using wet experiments to verify whether a peptide displays …
Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides
Antimicrobial peptides (AMPs) are a unique and diverse group of molecules that play a
crucial role in a myriad of biological processes and cellular functions. AMP-related studies …
crucial role in a myriad of biological processes and cellular functions. AMP-related studies …
Machine learning prediction of antimicrobial peptides
Antibiotic resistance constitutes a global threat and could lead to a future pandemic. One
strategy is to develop a new generation of antimicrobials. Naturally occurring antimicrobial …
strategy is to develop a new generation of antimicrobials. Naturally occurring antimicrobial …
dbPTM in 2022: an updated database for exploring regulatory networks and functional associations of protein post-translational modifications
Protein post-translational modifications (PTMs) play an important role in different cellular
processes. In view of the importance of PTMs in cellular functions and the massive data …
processes. In view of the importance of PTMs in cellular functions and the massive data …
iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities
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 …
processes and have various functional activities against target organisms. Due to the abuse …
Deep-ABPpred: identifying antibacterial peptides in protein sequences using bidirectional LSTM with word2vec
R Sharma, S Shrivastava, S Kumar Singh… - Briefings in …, 2021 - academic.oup.com
The overuse of antibiotics has led to emergence of antimicrobial resistance, and as a result,
antibacterial peptides (ABPs) are receiving significant attention as an alternative …
antibacterial peptides (ABPs) are receiving significant attention as an alternative …