When metal–organic framework mediated smart drug delivery meets gastrointestinal cancers
A Hashemzadeh, GPC Drummen, A Avan… - Journal of Materials …, 2021 - pubs.rsc.org
Cancers of the gastrointestinal tract constitute one of the most common cancer types
worldwide and a∼ 58% increase in the global number of cases has been estimated by …
worldwide and a∼ 58% increase in the global number of cases has been estimated by …
Evolution of sequence-based bioinformatics tools for protein-protein interaction prediction
Protein-protein interactions (PPIs) are the physical connections between two or more
proteins via electrostatic forces or hydrophobic effects. Identification of the PPIs is pivotal …
proteins via electrostatic forces or hydrophobic effects. Identification of the PPIs is pivotal …
DPP-PseAAC: a DNA-binding protein prediction model using Chou's general PseAAC
Abstract A DNA-binding protein (DNA-BP) is a protein that can bind and interact with a DNA.
Identification of DNA-BPs using experimental methods is expensive as well as time …
Identification of DNA-BPs using experimental methods is expensive as well as time …
PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences
R Muhammod, S Ahmed, D Md Farid… - …, 2019 - academic.oup.com
Motivation Extracting useful feature set which contains significant discriminatory information
is a critical step in effectively presenting sequence data to predict structural, functional …
is a critical step in effectively presenting sequence data to predict structural, functional …
DBP-CNN: Deep learning-based prediction of DNA-binding proteins by coupling discrete cosine transform with two-dimensional convolutional neural network
To improve the prediction of DNA-binding Proteins (DBPs), this paper presents a deep
learning-based method, named DBP-CNN. To efficiently extract the important features, we …
learning-based method, named DBP-CNN. To efficiently extract the important features, we …
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 …
StackACPred: Prediction of anticancer peptides by integrating optimized multiple feature descriptors with stacked ensemble approach
Anticancer peptides (ACPs) have been emerged as a potential safe therapeutic agent for
treating cancer. Identifying novel ACPs is crucial for understanding deep insight their …
treating cancer. Identifying novel ACPs is crucial for understanding deep insight their …
MsDBP: exploring DNA-binding proteins by integrating multiscale sequence information via Chou's five-step rule
DNA-binding proteins are crucial to alternative splicing, methylation, and the structural
composition of the DNA. The existing experimental methods for identifying DNA-binding …
composition of the DNA. The existing experimental methods for identifying DNA-binding …
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 …
StackPDB: predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier
Q Zhang, P Liu, X Wang, Y Zhang, Y Han, B Yu - Applied Soft Computing, 2021 - Elsevier
DNA-binding proteins (DBPs) not only play an important role in all aspects of genetic
activities such as DNA replication, recombination, repair, and modification but also are used …
activities such as DNA replication, recombination, repair, and modification but also are used …