Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …
companies and chemical scientists. However, low efficacy, off-target delivery, time …
Antimicrobial peptides: an update on classifications and databases
Antimicrobial peptides (AMPs) are distributed across all kingdoms of life and are an
indispensable component of host defenses. They consist of predominantly short cationic …
indispensable component of host defenses. They consist of predominantly short cationic …
Strategic approaches to improvise peptide drugs as next generation therapeutics
In recent years, the occurrence of a wide variety of drug-resistant diseases has led to an
increase in interest in alternate therapies. Peptide-based drugs as an alternate therapy hold …
increase in interest in alternate therapies. Peptide-based drugs as an alternate therapy hold …
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 …
Recent progress in the discovery and design of antimicrobial peptides using traditional machine learning and deep learning
Antimicrobial resistance has become a critical global health problem due to the abuse of
conventional antibiotics and the rise of multi-drug-resistant microbes. Antimicrobial peptides …
conventional antibiotics and the rise of multi-drug-resistant microbes. Antimicrobial peptides …
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 …
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 …
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 …
Accelerating the discovery and design of antimicrobial peptides with artificial intelligence
MC Aguilera-Puga, NL Cancelarich, MM Marani… - … drug discovery and …, 2023 - Springer
Peptides modulate many processes of human physiology targeting ion channels, protein
receptors, or enzymes. They represent valuable starting points for the development of new …
receptors, or enzymes. They represent valuable starting points for the development of new …
iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional …
Globally, fungal infections have become a major health concern in humans. Fungal
diseases generally occur due to the invading fungus appearing on a specific portion of the …
diseases generally occur due to the invading fungus appearing on a specific portion of the …