This study describes a method for predicting and classifying oxygen-binding pro- teins. Firstly, support vector machine (SVM) modules were developed using amino acid composition and dipeptide composition for predicting oxygen-binding pro- teins, and achieved maximum accuracy of 85.5% and 87.8%, respectively. Sec- ondly, an SVM module was developed based on amino acid composition, classify- ing the predicted oxygen-binding proteins into six classes with accuracy of 95.8%, 97.5%, 97.5%, 96.9%, 99.4%, and 96.0% for erythrocruorin, hemerythrin, hemo- cyanin, hemoglobin, leghemoglobin, and myoglobin proteins, respectively. Finally, an SVM module was developed using dipeptide composition for classifying the oxygen-binding proteins, and achieved maximum accuracy of 96.1%, 98.7%, 98.7%, 85.6%, 99.6%, and 93.3% for the above six classes, respectively. All modules were trained and tested by five-fold cross validation. Based on the above approach, a web server Oxypred was developed for predicting and classifying oxygen-binding proteins(available from http://www.imtech.res.in/raghava/oxypred/).

Background: Coronavirus illness (COVID-19) reached the level of a significant public health emergency in 2019, with an estimated worldwide death toll of more than 1,00,000 people 2019. Coronavirus illness (COVID-19). This survey was conducted to identify the factors influencing COVID-19 practice among undergraduate nursing students at the University of Nizwa, Sultanate of Oman. Methods: A quantitative cross-sectional online survey of sixty-four undergraduate nursing students chosen from the school of Nursing at the University of Nizwa in Sultanate of Oman took part from July 30 to August 5, 2021. Results: Participants’ average age was 22.27 ± 1.04, and the male-to-female ratio was 31.8% (n=64). Nursing students had adequate knowledge (13.67 ± 3.46), a positive attitude (48.14 ± 12.29), and good practices (32.6 ± 6.12), according to the results of a survey. Female students, compared to males (0.006, p<0.05), were more likely to follow better practices. Significant positive associations were found between age (0.025, p<0.05), gender (0.006, P<0.05), living areas (0.031, p<0.05), grade (0.000, p<0.05), Clinical practice experienced (0.016, p<0.05) and practice on COVID -19. Conclusions The study findings exhibited the essential elements that affected COVID-19 precautionary practices, knowledge, and a positive attitude, which were the most critical variables to consider. Male students and students who reside in rural regions should be targeted for further health education, and efforts should be made to ensure these groups have access to reliable and effective online tools to assist them.