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Nassar, M. K., Z. S. Goraga, and G. A. Brockmann, "Quantitative trait loci segregating in crosses between New Hampshire and White Leghorn chicken lines: II. Muscle weight and carcass composition", Animal genetics, vol. 43, no. 6: Wiley Online Library, pp. 739–745, 2012. Abstract
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El-Soda, M., W. Kruijer, M. Malosetti, M. Koornneef, and M. G. M. Aarts, "Quantitative trait loci and candidate genes underlying genotype by environment interaction in the response of Arabidopsis thaliana to drought", Plant, cell & environment, vol. 38, no. 3: Wiley, pp. 585–599, 2015. Abstract
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Badawi, A. M., A. Khalifa, and A. M. Youssef, "Quantitative Tissue Characterization Program, Computing and Color-Mapping of Ultrasound Parameters for Computerized diagnosis of liver Pathologies", In Proceedings of IEEE, ICESC Symposium: IEEE, 1997. Abstract
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Sheraba, N. S., A. S. Yassin, A. Fahmy, and M. A. Amin, "Quantitative suspension tests for the evaluation of bactericidal, fungicidal and sporicidal effects of biocides used in vaccine production facility", African Journal of Microbiology Research, vol. 8, issue 5, pp. 417-424, 2014.
Zedan, H. H., O. M. El-Tayeb, and A. A. Hashem, "A quantitative study of the production of dextran from sucrose by a freshly isolated strain of L. mesenteroides", Egypt. J. Microbiol. : ., vol. 18, pp. 205-217, 1980.
Abou-Leila, H., H. A. Ismail, S. M. Darwish, E. H. Samman, and A. Ashry, ""Quantitative Study of the Gain Stability of XP-1020 Photomultiplier Tubes"", Arab Journal of Nuclear Sciences and Applications, vol. 12, issue 12A, pp. 91-102, 1979.
Abou-Leila, H., H. A. Ismail, S. M. Darwish, E. L. A. A. Kamhawy, and E. Samanoudy, ""Quantitative Study of the Gain Stability for 56-AVP Photomultiplier Tubes"", ATOMKERNENERGIE, vol. 28, issue 3, pp. 186-191, 1976.
abd elaziz, M., Y. S. Moemen, A. E. Hassanien, and S. Xiong, "Quantitative Structure-Activity Relationship Model for HCVNS5B inhibitors based on an Antlion Optimizer-Adaptive Neuro-Fuzzy Inference System, ", Scientific report (Nature) , vol. 1506, 2018. Abstract

The global prevalence of hepatitis C Virus (HCV) is approximately 3% and one-fifth of all HCV carriers live in the Middle East, where Egypt has the highest global incidence of HCV infection. Quantitative structure-activity relationship (QSAR) models were used in many applications for predicting the potential effects of chemicals on human health and environment. The adaptive neuro-fuzzy inference system (ANFIS) is one of the most popular regression methods for building a nonlinear QSAR model. However, the quality of ANFIS is influenced by the size of the descriptors, so descriptor selection methods have been proposed, although these methods are affected by slow convergence and high time complexity. To avoid these limitations, the antlion optimizer was used to select relevant descriptors, before constructing a nonlinear QSAR model based on the PIC50 and these descriptors using ANFIS. In our experiments, 1029 compounds were used, which comprised 579 HCVNS5B inhibitors (PIC50 < ~14) and 450 non-HCVNS5B inhibitors (PIC50 > ~14). The experimental results showed that the proposed QSAR model obtained acceptable accuracy according to different measures, where R2 was 0.952 and 0.923 for the training and testing sets, respectively, using cross-validation, while R2 LOO
was 0.8822 using leave-one-out (LOO).

Elfiky, A. A., S. M. Mahdy, and W. M. Elshemey, "Quantitative structure-activity relationship and molecular docking revealed a potency of anti-hepatitis C virus drugs against human corona viruses", Journal of medical Virology, vol. 89, issue 6, pp. 1040-1047, 2017. AbstractWebsite

A number of human coronaviruses (HCoVs) were reported in the last and present centuries. Some outbreaks of which (e.g. SARS and MERS CoVs) caused the mortality of hundreds of people worldwide. The problem of finding a potent drug against HCoV strains lies in the inability of finding a drug that stops the viral replication through inhibiting its important proteins. In spite of its limited efficacy and potential side effects, Ribavirin is extensively used as a first choice against HCoVs. Therefore, scientists reverted towards the investigation of different drugs that can more specifically target proteins. In this study, four anti-HCV drugs (one approved by FDA and others under clinical trials) are tested against HCoV polymerases. Quantitative Structure-Activity Relationship (QSAR) and molecular docking are both used to compare the performance of the selected nucleotide inhibitors to their parent nucleotides and Ribavirin. Both QSAR and molecular docking showed that IDX-184 is superior compared to Ribavirin against MERS CoV, a result that was also reported for HCV. MK-0608 showed a performance that is comparable to Ribavirin. We strongly suggest an in vitro study on the potency of these two drugs against MERS CoV.

Elfiky, A. A., S. M. Mahdy, and W. M. Elshemey, "Quantitative structure-activity relationship and molecular docking revealed a potency of anti-hepatitis C virus drugs against human corona viruses", Journal of Medical Virology, vol. 89, no. 6, pp. 1040-1047, 2017. AbstractWebsite
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Elfiky, A. A., S. M. Mahdy, and W. M. Elshemey, "Quantitative structure-activity relationship and molecular docking revealed a potency of anti-hepatitis C virus drugs against human corona viruses", Journal of Medical Virology, vol. 89, issue 6, pp. 1040 - 1047, 2017. AbstractWebsite

A number of human coronaviruses (HCoVs) were reported in the last and present centuries. Some outbreaks of which (eg, SARS and MERS CoVs) caused the mortality of hundreds of people worldwide. The problem of finding a potent drug against HCoV strains lies in the inability of finding a drug that stops the viral replication through inhibiting its important proteins. In spite of its limited efficacy and potential side effects, Ribavirin is extensively used as a first choice against HCoVs. Therefore, scientists reverted towards the investigation of different drugs that can more specifically target proteins. In this study, four anti-HCV drugs (one approved by FDA and others under clinical trials) are tested against HCoV polymerases. Quantitative Structure-Activity Relationship (QSAR) and molecular docking are both used to compare the performance of the selected nucleotide inhibitors to their parent nucleotides and Ribavirin. Both QSAR and molecular docking showed that IDX-184 is superior compared to Ribavirin against MERS CoV, a result that was also reported for HCV. MK-0608 showed a performance that is comparable to Ribavirin. We strongly suggest an in vitro study on the potency of these two drugs against MERS CoV. © 2017 Wiley Periodicals, Inc.

Ibrahim, M., N. A. Saleh, and W. M. Elshemey, "Quantitative structure activity relationship: History, development and applications", Recent Trends on QSAR in the Pharmaeutical Perceptions, pp. 360-391, 2012. AbstractWebsite
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saied zaghloul, H., "Quantitative Relationships of Postmortem Ethanol concentrations in Blood, Vitreous Humor, Urine and Liver of Adult Albino Rats.", The Egyptian Journal of Forensic Sciences and Applied Toxicology, vol. 3, issue 2, pp. 1-22, 2003.
Sabrah, R. E. A., H. M. Abdel-Magid, S. I. Abdel-Aal, R. K. Rabie, and A. Y. Khalifa, "Quantitative relationships between irrigation requirement and wheat yield grown on a desertic sandy soil in Saudi Arabia", Egyptian Journal of Soil Science (Egypt), 1999. Abstract
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Sabrah, R. E. A., H. M. Abdel-Magid, S. I. Abdel-Aal, R. K. Rabie, and A. Y. Khalifa, "Quantitative relationships between irrigation requirement and wheat yield grown on a desertic sandy soil in Saudi Arabia", Egyptian Journal of Soil Science (Egypt), 1999. Abstract
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Abdelsalam, D., and R. M. Abdelazeem, "Quantitative phase imaging by automatic phase shifting generated by phase-only spatial light modulator", Frontiers in Optics, October, 2021.
Elbagary, R. I., M. A. Fouad, and M. I. Ezzeldin, "Quantitative Nuclear Magnetic Resonance Spectroscopic Analysis of Two Commonly Used Gastrointestinal Tract Drugs", Journal of AOAC INTERNATIONAL, vol. 103, issue 5, pp. 1208-1214, 2020. aoac_menna.pdf
Bosseila, M., and B. Saad, "Quantitative morphometric analysis of hair follicles in alopecia areata", Journal of dermatological science, vol. 44, no. 1: Elsevier, pp. 59–61, 2006. Abstract
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El Sawah, S., A. Abd El Fattah Tharwat, and M. Hassan Rasmy, "A quantitative model to predict the Egyptian ERP implementation success index", Business Process Management Journal, vol. 14, no. 3, pp. 288–306, 2008. Abstract
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Belov, O. V., E. A. Krasavin, M. S. Lyashko, M. Batmunkh, and N. H. Sweilam, "A quantitative model of the major pathways for radiation-induced DNA double-strand break repair", Journal of theoretical biology, vol. 366: Academic Press, pp. 115–130, 2015. Abstract
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