PreDTIs: prediction of drug–target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection …
SMH Mahmud, W Chen, Y Liu, MA Awal… - Briefings in …, 2021 - academic.oup.com
Discovering drug–target (protein) interactions (DTIs) is of great significance for researching
and developing novel drugs, having a tremendous advantage to pharmaceutical industries …
and developing novel drugs, having a tremendous advantage to pharmaceutical industries …
Identification of sub-Golgi protein localization by use of deep representation learning features
Abstract Motivation The Golgi apparatus has a key functional role in protein biosynthesis
within the eukaryotic cell with malfunction resulting in various neurodegenerative diseases …
within the eukaryotic cell with malfunction resulting in various neurodegenerative diseases …
Prediction of drug-target interactions based on multi-layer network representation learning
The prediction of drug-target interactions aims to identify potential targets for the treatment of
new and rare diseases. The large number of unknown combinations between drugs and …
new and rare diseases. The large number of unknown combinations between drugs and …
Prediction of protein–protein interactions based on elastic net and deep forest
Prediction of protein–protein interactions (PPIs) helps to grasp molecular roots of disease.
However, web-lab experiments to predict PPIs are limited and costly. Using machine …
However, web-lab experiments to predict PPIs are limited and costly. Using machine …
A convolutional neural network using dinucleotide one-hot encoder for identifying DNA N6-methyladenine sites in the rice genome
Abstract N6-methyladenine (m 6 A) is one of the crucial epigenetic modifications and is
related to the control of various DNA processes. Carrying out a genome-wide m 6 A analysis …
related to the control of various DNA processes. Carrying out a genome-wide m 6 A analysis …
AOPs-SVM: a sequence-based classifier of antioxidant proteins using a support vector machine
C Meng, S Jin, L Wang, F Guo, Q Zou - Frontiers in Bioengineering …, 2019 - frontiersin.org
Antioxidant proteins play important roles in countering oxidative damage in organisms.
Because it is time-consuming and has a high cost, the accurate identification of antioxidant …
Because it is time-consuming and has a high cost, the accurate identification of antioxidant …
Prediction of drug-target interaction based on protein features using undersampling and feature selection techniques with boosting
SMH Mahmud, W Chen, H Meng, H Jahan, Y Liu… - Analytical …, 2020 - Elsevier
Accurate identification of drug-target interaction (DTI) is a crucial and challenging task in the
drug discovery process, having enormous benefit to the patients and pharmaceutical …
drug discovery process, having enormous benefit to the patients and pharmaceutical …
Gradient boosting decision tree-based method for predicting interactions between target genes and drugs
Determining the target genes that interact with drugs—drug–target interactions—plays an
important role in drug discovery. Identification of drug–target interactions through biological …
important role in drug discovery. Identification of drug–target interactions through biological …
Identification of drug-side effect association via semisupervised model and multiple kernel learning
Drug-side effect association contains the information on marketed medicines and their
recorded adverse drug reactions. Traditional experimental method is time consuming and …
recorded adverse drug reactions. Traditional experimental method is time consuming and …
iTTCA-RF: a random forest predictor for tumor T cell antigens
S Jiao, Q Zou, H Guo, L Shi - Journal of translational medicine, 2021 - Springer
Background Cancer is one of the most serious diseases threatening human health. Cancer
immunotherapy represents the most promising treatment strategy due to its high efficacy and …
immunotherapy represents the most promising treatment strategy due to its high efficacy and …