PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins
Motivation Gram-positive bacteria have developed secretion systems to transport proteins
across their cell wall, a process that plays an important role during host infection. These …
across their cell wall, a process that plays an important role during host infection. These …
Ion-pumping microbial rhodopsin protein classification by machine learning approach
Background Rhodopsin is a seven-transmembrane protein covalently linked with retinal
chromophore that absorbs photons for energy conversion and intracellular signaling in …
chromophore that absorbs photons for energy conversion and intracellular signaling in …
Computational method for aromatase-related proteins using machine learning approach
MK Selvaraj, J Kaur - Plos one, 2023 - journals.plos.org
Human aromatase enzyme is a microsomal cytochrome P450 and catalyzes aromatization
of androgens into estrogens during steroidogenesis. For breast cancer therapy, third …
of androgens into estrogens during steroidogenesis. For breast cancer therapy, third …
Multi-descriptor approaches to oxygen binding proteins prediction and classification using deep learning
S Hamena, S Meshoul… - International Journal of …, 2022 - inderscienceonline.com
Oxygen binding proteins play a key role in the transport and storage of oxygen through the
body's cells. However, costly and time consuming biological tests can only determine a very …
body's cells. However, costly and time consuming biological tests can only determine a very …
[HTML][HTML] The evolutionary relationship of S15/NS1RNA binding domains with a similar protein domain pattern-A computational approach
SM Krishnan - Informatics in Medicine Unlocked, 2021 - Elsevier
RNA binding proteins are involved in many functions, though the majority of them are
composed into small RNA binding domains. The S15/NS1 RNA binding domain is a …
composed into small RNA binding domains. The S15/NS1 RNA binding domain is a …
A generalized similarity metric for predicting peptide binding affinity
J Rodriguez, S Rath, J Francis-Landau, Y Demirci… - bioRxiv, 2019 - biorxiv.org
The ability to capture the relationship between similarity and functionality would enable the
predictive design of peptide sequences for a wide range of implementations from …
predictive design of peptide sequences for a wide range of implementations from …
Using Chou's Pseudo-Amino Acid Composition to Predict and Classify Oxygen Binding Proteins
Despite the largest application of functional assignments based on sequence similarity most
of the newly discovered proteins sequences still unannotated. This has made the use of …
of the newly discovered proteins sequences still unannotated. This has made the use of …