Molecular Modeling of a Phenyl‐Amidine Class of NMDA Receptor Antagonists and the Rational Design of New Triazolyl‐Amidine Derivatives. (17th December 2012)
- Record Type:
- Journal Article
- Title:
- Molecular Modeling of a Phenyl‐Amidine Class of NMDA Receptor Antagonists and the Rational Design of New Triazolyl‐Amidine Derivatives. (17th December 2012)
- Main Title:
- Molecular Modeling of a Phenyl‐Amidine Class of NMDA Receptor Antagonists and the Rational Design of New Triazolyl‐Amidine Derivatives
- Authors:
- Abreu, Paula A.
Castro, Helena C.
Paes‐de‐Carvalho, Roberto
Rodrigues, Carlos R.
Giongo, Viveca
Paixão, Izabel C. N. P.
Santana, Marcos V.
Ferreira, Jainne M.
Caversan, Octavia M.
Leão, Raquel A. C.
Marins, Luana M. S.
Henriques, André M.
Farias, Florence M. C.
Albuquerque, Magaly G.
Pinheiro, Sergio - Abstract:
- <abstract abstract-type="main" xml:lang="en"> <title> <x xml:space="preserve">Abstract</x> </title> <p>Recently, many efforts have been made to develop <italic>N</italic>‐methyl‐<sc>d</sc>‐aspartic acid receptor antagonists for treating different pathological conditions such as thrombo‐embolic stroke, traumatic head injury, Huntington's, Parkinson's, and Alzheimer's diseases). However, as side‐effects limit the use of most antagonists, new drugs are still required. In this work, we performed a (quantitative) structure‐activity relationship analysis of 17 phenyl‐amidine derivatives (<bold>1a</bold>–<bold>1q</bold>), reported as <italic>N</italic>‐methyl‐<sc>d</sc>‐aspartic acid receptor antagonists, and used this data to rationally design the triazolyl‐amidines. The best (quantitative) structure‐activity relationship model constructed by multiple linear regression analysis presented high data fitting (<italic>R</italic> = 0.914) was able to explain 83.6% of the biological data variance (<italic>R</italic><sup>2 </sup>=<sup> </sup>0.836), presented a satisfactory internal predictive ability (<italic>Q</italic><sup>2 </sup>=<sup> </sup>0.609) and contained the descriptors (E<sub>HOMO</sub>, Ovality and cLogP). Our assays confirmed that glutamate promotes an extensive cell death in avian neurons (77%) and <bold>2a</bold> and <bold>2b</bold> protected the neurons from the glutamate effect (from 77% to 27% and 45%, respectively). The results of neurotoxicity and cytotoxicity on<abstract abstract-type="main" xml:lang="en"> <title> <x xml:space="preserve">Abstract</x> </title> <p>Recently, many efforts have been made to develop <italic>N</italic>‐methyl‐<sc>d</sc>‐aspartic acid receptor antagonists for treating different pathological conditions such as thrombo‐embolic stroke, traumatic head injury, Huntington's, Parkinson's, and Alzheimer's diseases). However, as side‐effects limit the use of most antagonists, new drugs are still required. In this work, we performed a (quantitative) structure‐activity relationship analysis of 17 phenyl‐amidine derivatives (<bold>1a</bold>–<bold>1q</bold>), reported as <italic>N</italic>‐methyl‐<sc>d</sc>‐aspartic acid receptor antagonists, and used this data to rationally design the triazolyl‐amidines. The best (quantitative) structure‐activity relationship model constructed by multiple linear regression analysis presented high data fitting (<italic>R</italic> = 0.914) was able to explain 83.6% of the biological data variance (<italic>R</italic><sup>2 </sup>=<sup> </sup>0.836), presented a satisfactory internal predictive ability (<italic>Q</italic><sup>2 </sup>=<sup> </sup>0.609) and contained the descriptors (E<sub>HOMO</sub>, Ovality and cLogP). Our assays confirmed that glutamate promotes an extensive cell death in avian neurons (77%) and <bold>2a</bold> and <bold>2b</bold> protected the neurons from the glutamate effect (from 77% to 27% and 45%, respectively). The results of neurotoxicity and cytotoxicity on Vero cells suggested the favorable profile of <bold>2a</bold> and <bold>2b</bold>. Also, the molecular modeling used to predict the activity, the interaction with the receptor and the pharmacokinetic and toxicity of the triazolyl‐amidines pointed them as a promising class for further exploration as <italic>N</italic>‐methyl‐<sc>d</sc>‐aspartic acid receptor antagonists.</p> </abstract> … (more)
- Is Part Of:
- Chemical biology & drug design. Volume 81:Number 2(2013:Feb.)
- Journal:
- Chemical biology & drug design
- Issue:
- Volume 81:Number 2(2013:Feb.)
- Issue Display:
- Volume 81, Issue 2 (2013)
- Year:
- 2013
- Volume:
- 81
- Issue:
- 2
- Issue Sort Value:
- 2013-0081-0002-0000
- Page Start:
- 185
- Page End:
- 197
- Publication Date:
- 2012-12-17
- Subjects:
- Drugs -- Design -- Periodicals
Pharmaceutical chemistry -- Periodicals
Biochemistry -- Periodicals
615.19005 - Journal URLs:
- http://gateway.ovid.com/ovidweb.cgi?T=JS&MODE=ovid&NEWS=n&PAGE=toc&D=ovft&AN=01253034-000000000-00000 ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1747-0285 ↗
http://www.blackwell-synergy.com/loi/jpp ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/cbdd.12056 ↗
- Languages:
- English
- ISSNs:
- 1747-0277
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3139.120000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 4000.xml