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- W2024725087 abstract "<h3>ABSTRACT</h3> AlphaFold-Multimer has greatly improved protein complex structure prediction, but its accuracy also depends on the quality of the multiple sequence alignment (MSA) formed by the interacting homologs (i.e., interologs) of the complex under prediction. Here we propose a novel method, denoted as ColAttn, that can identify interologs of a complex by making use of protein language models (PLMs). We show that ColAttn can generate better interologs than the default MSA generation method in AlphaFold-Multimer. Our method results in better complex structure prediction than AlphaFold-Multimer by a large margin (+10.7% in terms of the Top-5 best DockQ), especially when the predicted complex structures have low confidence. We further show that by combining several MSA generation methods, we may yield even better complex structure prediction accuracy than Alphafold-Multimer (+22% in terms of the Top-5 best DockQ). We systematically analyze the impact factors of our algorithm and find out the diversity of MSA of interologs significantly affects the prediction accuracy. Moreover, we show that ColAttn performs particularly well on complexes in eukaryotes." @default.
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- W2024725087 date "1981-02-01" @default.
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- W2024725087 title "Stellate ganglion blocks with morphine in sympathetic type pain" @default.
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- W2024725087 doi "https://doi.org/10.1136/jnnp.44.2.189" @default.
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