This document discusses AlphaFold 2, a new artificial intelligence system developed by DeepMind for protein structure prediction. It summarizes the challenges of studying protein structures due to complexity, time, money and other resources required. It notes that AlphaFold 2 represents a major breakthrough in protein structure prediction, achieving human-level accuracy in predicting protein structures from amino acid sequences alone. The potential impact of this new technology on fields like genomics and proteomics is phenomenal.

1. Alpha Fold 2
By : Vishwas Narayan

2. Lot of new things
Proteomics,Genomics,Computer Architecture and other aspects of science
just started to emerge in 2015 as soon as tensorflow was open source thus its a
new journey from then to everybody.

3. Lot of new things
Proteomics,Genomics,Computer Architecture and other aspects of science just
started to emerge in 2015 as soon as tensorflow was open source thus its a new
journey from then to everybody, but it changed
now.

4. HOW??

5. Let's just focus on proteomics

6. What is a protein?

12. CASP Challenge
https://predictioncenter.org/

13. Isoforms of the Protein

14. There is a lot of Complexity in studying these
structures
● Money
● Time
● Efforts
● Infrastructure

26. https://predictioncenter.org/casp14/index.cgi?page=format#RR

30. They still love their world.

31. Potential of this project is
phenomenal

32. Reference
1. https://deepmind.com/blog/article/AlphaFold-Using-AI-for-scientific-discovery
2. https://deepmind.com/blog/article/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology
3. https://github.com/deepmind/deepmind-research/tree/master/alphafold_casp13
4. https://github.com/dellacortelab/prospr
5. https://www.nature.com/articles/s41586-019-1923-7
6. https://www.nature.com/articles/s41586-019-1923-
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tGSgazNL_XdtQzn1PHfy21qdcxV7Pw-k3htw%3D%3D
7. https://onlinelibrary.wiley.com/doi/full/10.1002/prot.25834
8. https://deepmind.com/research/case-studies/alphafold