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Semi-quantitative models for identifying potent and selective transthyretin amyloidogenesis inhibitors

Academic Article
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  • Research
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Overview

authors

  • Connelly, S.
  • Mortenson, D. E.
  • Choi, S.
  • Wilson, Ian
  • Powers, Evan
  • Kelly, Jeffery
  • Johnson, Steven

publication date

  • 2017

journal

  • Bioorganic & Medicinal Chemistry Letters  Journal
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Research

keywords

  • Amyloid
  • Familial amyloid polyneuropathy
  • In silico docking
  • Inhibitor
  • Prediction algorithms
  • Senile systemic amyloidosis
  • Structural biology
  • Structure-based drug design
  • TTR
  • Thyroid hormone receptors
  • Transthyretin
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Identity

International Standard Serial Number (ISSN)

  • 0960-894X

Digital Object Identifier (DOI)

  • 10.1016/j.bmcl.2017.05.080

PubMed ID

  • 28625364
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Additional Document Info

start page

  • 3441

end page

  • 3449

volume

  • 27

issue

  • 15

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