Artificial intelligence and machine learning for protein toxicity prediction using proteomics data
Instead of only focusing on the targeted drug delivery system, researchers have a great
interest in develo** peptide‐based therapies for the procurement of numerous class of …
interest in develo** peptide‐based therapies for the procurement of numerous class of …
MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors
One of the main challenges in applying machine learning algorithms to biological sequence
data is how to numerically represent a sequence in a numeric input vector. Feature …
data is how to numerically represent a sequence in a numeric input vector. Feature …
Amino acid composition in various types of nucleic acid-binding proteins
M Bartas, J Červeň, S Guziurová, K Slychko… - International Journal of …, 2021 - mdpi.com
Nucleic acid-binding proteins are traditionally divided into two categories: With the ability to
bind DNA or RNA. In the light of new knowledge, such categorizing should be overcome …
bind DNA or RNA. In the light of new knowledge, such categorizing should be overcome …
Prediction for understanding the effectiveness of antiviral peptides
A Nath - Computational Biology and Chemistry, 2021 - Elsevier
The low efficacy of current antivirals in conjunction with the resistance of viruses against
existing antiviral drugs has resulted in the demand for the development of novel antiviral …
existing antiviral drugs has resulted in the demand for the development of novel antiviral …
How can artificial intelligence be used for peptidomics?
Introduction Peptidomics is an emerging field of omics sciences using advanced isolation,
analysis, and computational techniques that enable qualitative and quantitative analyses of …
analysis, and computational techniques that enable qualitative and quantitative analyses of …
Use Chou's 5-steps rule to predict remote homology proteins by merging grey incidence analysis and domain similarity analysis
Detecting remote homology proteins is a challenging problem for both basic research and
drug development. Although there are a couple of methods to deal with this problem, the …
drug development. Although there are a couple of methods to deal with this problem, the …
Gluconeogenesis unraveled: A proteomic Odyssey with machine learning
The metabolic pathway known as gluconeogenesis, which produces glucose from non-
carbohydrate substrates, is essential for maintaining balanced blood sugar levels while …
carbohydrate substrates, is essential for maintaining balanced blood sugar levels while …
Proposing 5-steps rule is a notable milestone for studying molecular biology
KC Chou - Natural Science, 2020 - article.researchpromo.com
In this current minireview, the cradle of the “5-steps rule” or “5-step rules”, along with its
essence and advances, has been recalled. Born in 2011, its impacts on molecular biology …
essence and advances, has been recalled. Born in 2011, its impacts on molecular biology …
[HTML][HTML] Gaining insights into the physicochemical properties and sequence space of blood–brain barrier penetrating peptides
The blood–brain barrier (BBB) poses a significant obstacle to the administration of drugs to
the brain for the development of therapies of central nervous system (CNS) disorders. Blood …
the brain for the development of therapies of central nervous system (CNS) disorders. Blood …
[HTML][HTML] Other mountain stones can attack jade: the 5-steps rule
KC Chou - Natural Science, 2020 - scirp.org
Since the 5-steps rule was proposed in 2011, it has been widely used in many areas of
molecular biology, both theoretical and experimental. It can be even used to deal with the …
molecular biology, both theoretical and experimental. It can be even used to deal with the …