@aaronbuley It then uses this data to guess the distance between pairs of amino acids in structures that are not yet known. It is also able to assess how accurate these guesses are. Training took “a few weeks,” using computing power equivalent to between 100 and 200 GPUs.
@aaronbuley DeepMind trained AlphaFold on around 170,000 proteins taken from the protein data bank, a public repository of sequences and structures. It compared multiple sequences in the data bank and looked for pairs of amino acids that often end up close together in folded structures.
@Lost_Signal@nambrosebarry@CTOAdvisor That is a THROWBACK! CAB for vmotion. GIGO. if uninformed bias is controlling CAB.. The DUTY of the CIO and architect to go educate/empower the CAB. Haven’t seen that since 2009