Accelerating synthetic biology with AI
Synthetic Biology is a new exciting field where we are applying engineering concepts to biology. Currently I am a Global TA for a class from MIT called "How To Grow Almost Anything" where 30 in person and over 100 global listeners learn from the leading researchers and companies in the field of synthetic biology, like George Church from Harvard and Emily Proust from Twist Biosciences. Our final project for this course involves phage therapy to treat multidrug resistant bacteria, like E. coli. We are focusing on the MS2 bacteriophage, a virus that only infects bacteria, and on the lysis protein in this bacteria. For this project, a detailed literature search would be desirable. A quick search on Entrez gives 1696 abstracts for the search query "ms2 and phage". We develop a python program to download and rate all the abstracts for their relevance to this project.
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"brilliant idea to use ai for solving drug resistant bacteria, you needed to upload all data t LLM and evaluate its accuracy and in the future scientist will depend mainly on this output. great job"
Walaa Nasr Elghitany
Data scientist and doctor
"I can see potentional "
Theodoros Ampas
Technical Mentor
For Innovators & Creators