Literature DB >> 26415837

Alzheimer's disease drug development based on Computer-Aided Drug Design.

Huahui Zeng1, Xiangxiang Wu2.   

Abstract

Alzheimer's disease (AD) is a common neurodegenerative disorder characterized by the excessive deposition of amyloids in the brain. The pathological features mainly include the extracellular amyloid plaques and intracellular neurofibrillary tangles, which are the production of amyloid precursor protein (APP) processed by the α-, β- and γ-secretases. Based on the amyloid cascade hypotheses of AD, a large number of amyloid-β agents and secretase inhibitors against AD have been recently developed by using computational methods. This review article describes pathophysiology of AD and the structure of the Aβ plaques, β- and γ-secretases, and discusses the recent advances in the development of the amyloid agents for AD therapy and diagnosis by using Computer-Aided Drug Design approach.
Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Amyloid-β; Computer-Aided Drug Design; β-secretases; γ-secretases

Mesh:

Substances:

Year:  2015        PMID: 26415837     DOI: 10.1016/j.ejmech.2015.08.039

Source DB:  PubMed          Journal:  Eur J Med Chem        ISSN: 0223-5234            Impact factor:   6.514


  8 in total

Review 1.  Computer Aided Drug Design and its Application to the Development of Potential Drugs for Neurodegenerative Disorders.

Authors:  Mohammad Hassan Baig; Khurshid Ahmad; Gulam Rabbani; Mohd Danishuddin; Inho Choi
Journal:  Curr Neuropharmacol       Date:  2018       Impact factor: 7.363

2.  Computer-Aided Multi-Target Management of Emergent Alzheimer's Disease.

Authors:  Hyunjo Kim; Hyunwook Han
Journal:  Bioinformation       Date:  2018-05-05

3.  Pharmaceutical Machine Learning: Virtual High-Throughput Screens Identifying Promising and Economical Small Molecule Inhibitors of Complement Factor C1s.

Authors:  Jonathan J Chen; Lyndsey N Schmucker; Donald P Visco
Journal:  Biomolecules       Date:  2018-05-07

4.  Hybrid approach to sieve out natural compounds against dual targets in Alzheimer's Disease.

Authors:  Sucharita Das; Sandipan Chakraborty; Soumalee Basu
Journal:  Sci Rep       Date:  2019-03-06       Impact factor: 4.379

5.  An Ensemble Learning-Based Method for Inferring Drug-Target Interactions Combining Protein Sequences and Drug Fingerprints.

Authors:  Zheng-Yang Zhao; Wen-Zhun Huang; Xin-Ke Zhan; Jie Pan; Yu-An Huang; Shan-Wen Zhang; Chang-Qing Yu
Journal:  Biomed Res Int       Date:  2021-04-24       Impact factor: 3.411

6.  Adequate prediction for inhibitor affinity of Aβ40 protofibril using the linear interaction energy method.

Authors:  Son Tung Ngo; Binh Khanh Mai; Philippe Derreumaux; Van V Vu
Journal:  RSC Adv       Date:  2019-04-23       Impact factor: 4.036

7.  Changing Paradigm from one Target one Ligand Towards Multi-target Directed Ligand Design for Key Drug Targets of Alzheimer Disease: An Important Role of In Silico Methods in Multi-target Directed Ligands Design.

Authors:  Akhil Kumar; Ashish Tiwari; Ashok Sharma
Journal:  Curr Neuropharmacol       Date:  2018       Impact factor: 7.363

Review 8.  A review of the mechanisms underlying selected comorbidities in Alzheimer's disease.

Authors:  Karolina Maciejewska; Kamila Czarnecka; Paweł Szymański
Journal:  Pharmacol Rep       Date:  2021-06-13       Impact factor: 3.024

  8 in total

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