β-secretase inhibitors for Alzheimer’s disease: identification using pharmacoinformatics-Reference-Cited by-同舟云学术

β-secretase inhibitors for Alzheimer’s disease: identification using pharmacoinformatics

Published:2018-02-01 Issue:2 Volume:37 Page:503-522
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Islam Md Ataul¹²^ORCID,Pillay Tahir S.¹³^ORCID

Affiliation:

1. Faculty of Health Sciences, Department of Chemical Pathology, University of Pretoria and National Health Laboratory Service Tshwane Academic Division, Pretoria, South Africa

2. School of Health Sciences, University of Kwazulu-Natal, Westville Campus, Durban, South Africa

3. Division of Chemical Pathology, University of Cape Town, Cape Town, South Africa

Funder

National Research Foundation

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2018.1430619

Reference69 articles.

1. GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

2. Virtual Lead Identification of Farnesyltransferase Inhibitors Based on Ligand and Structure-Based Pharmacophore Techniques

3. The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

4. First molecular modeling report on novel arylpyrimidine kynurenine monooxygenase inhibitors through multi-QSAR analysis against Huntington’s disease: A proposal to chemists!

5. Exploring pyrazolo[3,4-d]pyrimidine phosphodiesterase 1 (PDE1) inhibitors: a predictive approach combining comparative validated multiple molecular modelling techniques

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