Discover and read the best of Twitter Threads about #af2

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It's finally time to discuss the main highlights of #CASP15's assembly category, where we had these beatiful 41 targets:
Compared to #CASP14, in #CASP15, we have a significant increase in the number of targets offered and in the number of groups participating the challange:
Over these targets, community produced extremely good results, when we consider the interface patch (IPS) and interface contact (ICS) scores. In #CASP15, for almost 50% of the cases, there is at least one high accuracy model generated (ICS>=0.8), which was only 7% in #CASP14.
Read 11 tweets
1/6 Can #AlphaFold learn from + & - labeled data to predict peptide binding better? w/ Phil Bradley @JustasDauparas @minkbaek @Mohamad_Abedi David Baker we present joint structure prediction-classification fine-tuning of #AF2 to classify pMHC binding.@UWproteindesign @fredhutch
2/6 We developed a template-based method for accurately predicting pMHC structures & fed confidence scores to a simple classifier to fine-tune with structure+classification loss on a self-distillation set of + and - pMHC interactions & reach SOTA in Class I & II classification.
3/6 We show that our method is potentially orthogonal to NetMHCpan and can correctly label peptides where NetMHCpan fails.
Read 6 tweets

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