anti-Ebola is a Quantitative structure–activity relationship (QSAR) based prediction algorithm for identifying the Ebola inhibition efficacy of any compound.
Q2. Which data is used for the model development in anti-Ebola?
Yes, anti-Ebola is the first regression based algorithm for predicting the Ebola inhibition potential of any compound.
Q4. Are there any other computational resources available for predicting inhibition potential of Ebola virus inhibitors?
No prediction algorithm is available for identifying Ebola inhibition potential of any compound. anti-Ebola is the first recursive regression based algorithm, developed using Quantitative structure–activity relationship like 2D, 3D and fingerprints for any compound.
Q5. What would be the input in the anti-Ebola algorithm?
Input would be provided in the form of sdf format in case of chemical (s).
Q6. How much time is required by the anti-Ebola server to process the query? How can a user retrieve the results?
The algorithm usually takes 2-5 minutes to process the query. However, we are providing the Job Id for every process, which can be used for retrieving or checking the job status of the user(s) query.