Literature DB >> 25483013

Computational insights into the inhibition of influenza viruses by rupestonic acid derivatives: pharmacophore modeling, 3D-QSAR, CoMFA and COMSIA studies.

Karthikeyan Muthusamy, Palani Kirubakaran, Gopinath Krishnasamy, Raja Rajeshwari Thanashankar1.   

Abstract

The pharmacophore modeling and 3D-QSAR studies were performed on a series of amino alkyl rupestonates (Rupestonic Acid) derivatives reported for H1N1, H3N2 and Influenza B virus, NA inhibition. In order to improve the efficacy of amino alkyl rupestonates derivatives, a four point pharmacophore model with one acceptor and three hydrophobic regions was developed. Furthermore, the 3D-QSAR model was generated based on the pharmacophore hypothesis (AHHH) for each subtype. The hypothesis was more significant with R(2)=0.9204, Q(2)=0.917 for H1N1, R(2)=0.8911, Q(2)=0.8905 for H3N2 and R(2)=0.8385, Q(2)=0.7043 for Influenza B virus. The 3D-QSAR results provided an invaluable insight into structure activity correlation and it was shown that the hydrophobic regions were crucial for inhibitory activity. CoMFA and COMSIA validation had been done by leave one out and no validation methods.

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Year:  2015        PMID: 25483013     DOI: 10.2174/1386207318666141208104820

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  1 in total

1.  Multi-Condition QSAR Model for the Virtual Design of Chemicals with Dual Pan-Antiviral and Anti-Cytokine Storm Profiles.

Authors:  Alejandro Speck-Planche; Valeria V Kleandrova
Journal:  ACS Omega       Date:  2022-08-29
  1 in total

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