Frequently Asked Questions

Q1. What is anti-EBV?
Q2. What data is used to develop the model in Anti EBV?
Q3. Is the anti EBV algorithm developed for regression or classification problems?
Q4. What are the system requirements to run the anti-EBV algorithm?
Q5. What would be the input in the anti-EBV algorithm?
Q6. What kind of output can users expect from the anti-EBV algorithm?
Q7. Can users download the prediction results?
Q8. Can the anti-EBV algorithm handle multiple compounds in a single query?
Q9. How reliable is the anti-EBV algorithm?
10. How much time is required by the anti-EBV server to process the query? How can a user retrieve the results?

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Q1. What is anti-EBV?

anti-EBV is a computational tool based on Quantitative Structure-Activity Relationship (QSAR) principles. It predicts how effectively a given compound can inhibit Epstein-Barr Virus (EBV). By analyzing the molecular structure of compounds, anti-EBV can forecast their potential efficacy in preventing or reducing the activity of EBV. This tool uses advanced algorithms and a curated dataset to provide accurate predictions, aiding researchers in identifying promising antiviral candidates quickly and efficiently.

Q2. What data is used to develop the model in Anti EBV?

We sourced experimentally tested drug candidates against EBV from the ChEMBL database, a meticulously curated repository of bioactive molecules with drug-like properties. ChEMBL compiles detailed chemical, bioactivity, and genomic data, which together support the translation of genomic information into the development of effective new drugs.

Q3. Is the anti EBV algorithm developed for regression or classification problems?

Yes, anti-EBV is the first regression-based algorithm developed to predict the inhibitory potential of any compound against Epstein barr virus.

Q4. What are the system requirements to run the anti-EBV algorithm?

The anti-EBV algorithm is hosted on a web server, so no specific system requirements are needed on the user's end. Users simply need a device with internet access and a modern web browser.

Q5. What would be the input in the anti-EBV algorithm?

Input must be provided in the form of sdf format of chemical.

Q6. What kind of output can users expect from the anti-EBV algorithm?

Users will receive a detailed report that includes the predicted EBV inhibition efficacy of the input compounds, along with relevant statistical metrics and visualizations.

Can users download the prediction results?

Yes, users can download the prediction results in various formats, including PDF and CSV, for further analysis and record-keeping.

Q8. Can the anti-EBV algorithm handle multiple compounds in a single query?

Yes, the anti-EBV algorithm can process multiple compounds in a single query. Users need to provide the input data in the specified sdf format containing all the compounds of interest.

Q9. How reliable is the anti-EBV algorithm?

The anti-EBV algorithm has been rigorously tested and validated using a comprehensive dataset from ChemBl. The prediction accuracy and performance metrics are detailed in our publication.

Q10. How much time is required by the anti-EBV server to process the query? How can a user retrieve the results?

The algorithm usually takes 2-5 minutes to process the query. However, Job Id for every process is assigned, which can be used for retrieving or checking the job status of the user(s) query.