Identification of antimicrobial peptides from the human gut microbiome using deep learning
The human gut microbiome encodes a large variety of antimicrobial peptides (AMPs), but
the short lengths of AMPs pose a challenge for computational prediction. Here we combined …
the short lengths of AMPs pose a challenge for computational prediction. Here we combined …
Oral peptide delivery: Challenges and the way ahead
Highlights•Oral route of administration is the preferred route for drug delivery.•Dosage form
designing plays an essential role in oral peptide delivery.•Preclinical and clinical aspects of …
designing plays an essential role in oral peptide delivery.•Preclinical and clinical aspects of …
Recent advances in the design of antimicrobial peptide conjugates
ARP Silva, MS Guimarães, J Rabelo… - Journal of Materials …, 2022 - pubs.rsc.org
Antimicrobial peptides (AMPs) are ubiquitous host defense peptides characterized by their
antibiotic activity and lower propensity for developing resistance compared to classic …
antibiotic activity and lower propensity for developing resistance compared to classic …
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 …
AntiCP 2.0: an updated model for predicting anticancer peptides
Increasing use of therapeutic peptides for treating cancer has received considerable
attention of the scientific community in the recent years. The present study describes the in …
attention of the scientific community in the recent years. The present study describes the in …
iAFPs-EnC-GA: identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach
Fungal infections have become a serious health concern for human beings worldwide.
Fungal infections usually occur when the invading fungus appear on a particular part of the …
Fungal infections usually occur when the invading fungus appear on a particular part of the …
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 …
AMPGAN v2: machine learning-guided design of antimicrobial peptides
Antibiotic resistance is a critical public health problem. Each year∼ 2.8 million resistant
infections lead to more than 35 000 deaths in the US alone. Antimicrobial peptides (AMPs) …
infections lead to more than 35 000 deaths in the US alone. Antimicrobial peptides (AMPs) …
Pfeature: A tool for computing wide range of protein features and building prediction models
In the last three decades, a wide range of protein features have been discovered to annotate
a protein. Numerous attempts have been made to integrate these features in a software …
a protein. Numerous attempts have been made to integrate these features in a software …
B3pred: A random-forest-based method for predicting and designing blood–brain barrier penetrating peptides
The blood–brain barrier is a major obstacle in treating brain-related disorders, as it does not
allow the delivery of drugs into the brain. We developed a method for predicting blood–brain …
allow the delivery of drugs into the brain. We developed a method for predicting blood–brain …