About Elaf Jameel Islam Elaf Jameel Islam M.S., Computer Science Deep learning Methods Recognition Genomic signals Research Interests Evaluation of deep learning methods in recognition of genomic signals. Academic Advisor Prof. Vladimir Bajic. Education B.Sc., Computer science, UQU, MAKKAH, Saudi Arabia, 2014 2015-2018: Master student, KAUST, Thuwal, Saudi Arabia Events Presented Events Nov 4 - Nov 10, 2018 Prediction of active and inactive chemical compounds from high-throughput assays Elaf Jameel Islam, M.S., Computer Science Nov 6, 10:15 - 11:45 B5 L5 R5209 machine learning Abstract This study considers chemical compounds that can exert their activity by interacting with a target protein or other molecular receptor. Our aim is to develop machine learning models that can predict if a chemical compound will be active in a particular test/assay. We will use data from assays that are present in the PubChem knowledge base, specifically in its segment called BioAssays which reports the results of many high-throughput screening experiments. PubChem BioAssays is a valuable resource that contains information from a large number of experiments. In one assay, sometimes many
Prediction of active and inactive chemical compounds from high-throughput assays Elaf Jameel Islam, M.S., Computer Science Nov 6, 10:15 - 11:45 B5 L5 R5209 machine learning Abstract This study considers chemical compounds that can exert their activity by interacting with a target protein or other molecular receptor. Our aim is to develop machine learning models that can predict if a chemical compound will be active in a particular test/assay. We will use data from assays that are present in the PubChem knowledge base, specifically in its segment called BioAssays which reports the results of many high-throughput screening experiments. PubChem BioAssays is a valuable resource that contains information from a large number of experiments. In one assay, sometimes many
