Recent breakthroughs in protein structure modeling demonstrate the ability to predict protein folds without depending on homologous templates. In their study, Seong and Krasileva employed structure prediction methods on the secretome of the destructive fungal pathogen Magnaporthe oryzae. Out of 1,854 secreted proteins, they predicted the folds of 1,295 proteins (70%).
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In a work environment ruled by the "publish or perish" principle, researchers are constantly looking to publish more research in prestigious journals. However, throughout our scientific careers, we are all chased by the ghost of journal rejection. The MPMI senior editors discuss some of the points they consider fundamental for writing an outstanding scientific paper and getting it accepted. Photo: Nick Morrison on Unsplash
