A survey on the computational approaches to identify drug targets in the postgenomic era

YF Dai, XM Zhao - BioMed research international, 2015 - Wiley Online Library
Identifying drug targets plays essential roles in designing new drugs and combating
diseases. Unfortunately, our current knowledge about drug targets is far from …

Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier

J Lin, H Chen, S Li, Y Liu, X Li, B Yu - Artificial intelligence in medicine, 2019 - Elsevier
Discovering and accurately locating drug targets is of great significance for the research and
development of new drugs. As a different approach to traditional drug development, the …

Astragaloside IV acts through multi-scale mechanisms to effectively reduce diabetic nephropathy

E Wang, L Wang, R Ding, M Zhai, R Ge, P Zhou… - Pharmacological …, 2020 - Elsevier
Diabetic nephropathy (DN), a common complication of diabetes mellitus, is the main cause
of end-stage nephropathy, and thus developing novel strategies for reversing DN remains …

Pharmacotherapy in secondary progressive multiple sclerosis: an overview

F De Angelis, D Plantone, J Chataway - CNS drugs, 2018 - Springer
Multiple sclerosis is an immune-mediated inflammatory disease of the central nervous
system characterised by demyelination, neuroaxonal loss and a heterogeneous clinical …

Prediction of drug–target interaction networks from the integration of protein sequences and drug chemical structures

FR Meng, ZH You, X Chen, Y Zhou, JY An - Molecules, 2017 - mdpi.com
Knowledge of drug–target interaction (DTI) plays an important role in discovering new drug
candidates. Unfortunately, there are unavoidable shortcomings; including the time …

Identification of drug–target interaction from interactome network with 'guilt-by-association'principle and topology features

ZC Li, MH Huang, WQ Zhong, ZQ Liu, Y Xie… - …, 2016 - academic.oup.com
Motivation: Identifying drug–target protein interaction is a crucial step in the process of drug
research and development. Wet-lab experiment are laborious, time-consuming and …

Correlated motions and dynamics in different domains of epidermal growth factor receptor with L858R and T790M mutations

R Qureshi, A Ghosh, H Yan - IEEE/ACM Transactions on …, 2020 - ieeexplore.ieee.org
Non-small cell lung cancer with an activating epidermal growth factor receptor (EGFR)
mutation responds well to targeted drugs. In most cases, drug resistance appears after about …

Target based drug design-a reality in virtual sphere

S Verma, Y S. Prabhakar - Current medicinal chemistry, 2015 - benthamdirect.com
The target based drug design approaches are a series of computational procedures,
including visualization tools, to support the decision systems of drug design/discovery …

Rare diseases: Drug discovery and informatics resource

M Zhao, DQ Wei - Interdisciplinary Sciences: Computational Life …, 2018 - Springer
A rare disease refers to any disease with very low prevalence individually. Although the
impacted population is small for a single disease, more than 6000 rare diseases affect …

A convolutional neural network system to discriminate drug-target interactions

SS Hu, DN Xia, B Su, P Chen… - IEEE/ACM transactions …, 2019 - ieeexplore.ieee.org
Biological targets are most commonly proteins such as enzymes, ion channels, and
receptors. They are anything within a living organism to bind with some other entities (like an …