నైరూప్య

Multivariate QSAR Study of 7-Hydroxy-1, 3-Dioxo-2,3-Dihydro-1HPyrrolo[3,4-c]Pyridine-4-Carboxylate Derivatives as Potent Anti-HIV Agents

Ahanonu Saviour Ugochukwu, GA Shallangwa, Adamu Uzairu


In this study a QSAR was carried out on a data set of 7-Hydroxy-1,3-Dioxo-2,3-dihydro-1H-pyrrolo[3,4-c]pyridine-4- carboxylate derivatives to investigate their activities behaviour on HIV-1. Genetic Function Algorithm (GFA) and Multi Linear Regression Analysis (MLRA) were used to select the optimum descriptors and to generate the correlation QSAR model that relate their activities values against HIV with the molecular structures of the derivatives. After the internal validation, the model was found to have a squared correlation coefficient (R2 ) of 0.9334, adjusted squared correlation coefficient (R2 adj) of 0.9134 and Leaves One Out cross validated coefficient (LOO-Q 2 cv) value of 0.8604. The external validation set used for confirming the predictive power of the model has R 2 pred of 0.8935. Y randomization value of 0.6463 was used to confirm the robustness of the model. The robustness and stability of the model obtained by validation of the test set also indicate that the model can be used to design and synthesize other 7-Hydroxy-1,3-dioxo-2,3-dihydro-1H-pyrrolo[3,4-c]pyridine-4-carboxylate derivatives with improved anti-HIV activities


ఇండెక్స్ చేయబడింది

  • CASS
  • గూగుల్ స్కాలర్
  • J గేట్ తెరవండి
  • చైనా నేషనల్ నాలెడ్జ్ ఇన్‌ఫ్రాస్ట్రక్చర్ (CNKI)
  • CiteFactor
  • కాస్మోస్ IF
  • ఎలక్ట్రానిక్ జర్నల్స్ లైబ్రరీ
  • రీసెర్చ్ జర్నల్ ఇండెక్సింగ్ డైరెక్టరీ (DRJI)
  • రహస్య శోధన ఇంజిన్ ల్యాబ్‌లు
  • ICMJE

మరిన్ని చూడండి

జర్నల్ హెచ్-ఇండెక్స్

Flyer