Usefulness of MARS and Bagging MARS Algorithms in Prediction of Honey Production in Beekeeping Enterprises from Elazig Province of Turkey

Murat Kulekçi,Ecevit Eyduran,Ayaz Yusuf Altın,Mohammad Masood Tariq

doi:10.17582/journal.pjz/20200309160354

Abstract

Usefulness of MARS and Bagging MARS Algorithms in Prediction of Honey Production in Beekeeping Enterprises from Elazig Province of Turkey

Highlights

Structure retrieval and optimization (Adsorption, Distribution, Metabolism, Excretion and SARS-CoV-2 receptor binding domain was retrieved Toxicity) like properties by practicing admetSAR (URL: from Protein databank (Berman et al, 2000) as PDB ID http://lmmd.ecust.edu.cn/admetsar1) (Cheng et al, 2012)
Bioactive phytochemicals that might be able to act as a potential inhibitor of S protein so that the attachment of SARS-CoV-2 with angiotensin converting enzyme 2 (ACE2) receptors could be restricted
This target protein was first optimized by removing Human receptor and antibody

Summary

Introduction

Structure retrieval and optimization (Adsorption, Distribution, Metabolism, Excretion and SARS-CoV-2 receptor binding domain was retrieved Toxicity) like properties by practicing admetSAR (URL: from Protein databank (Berman et al, 2000) as PDB ID http://lmmd.ecust.edu.cn/admetsar1) (Cheng et al, 2012). Bioactive phytochemicals that might be able to act as a potential inhibitor of S protein so that the attachment of SARS-CoV-2 with ACE2 receptors could be restricted. Once the docking was completed, phytochemicals with best advancements in Chemoinformatics, libraries of 3D structures of compounds are accessible that could be tested for their potential therapeutic effects via different computational tools.

Results

Conclusion