Assessing predictions of fitness effects of missense mutations in SUMO-conjugating enzyme UBE2I.
Ontology highlight
ABSTRACT: The exponential growth of genomic variants uncovered by next-generation sequencing necessitates efficient and accurate computational analyses to predict their functional effects. A number of computational methods have been developed for the task, but few unbiased comparisons of their performance are available. To fill the gap, The Critical Assessment of Genome Interpretation (CAGI) comprehensively assesses phenotypic predictions on newly collected experimental datasets. Here, we present the results of the SUMO conjugase challenge where participants were predicting functional effects of missense mutations in human SUMO-conjugating enzyme UBE2I. The performance of the predictors is similar to each other and is far from perfection. Evolutionary information from sequence alignments dominates t
SUBMITTER: Zhang J
PROVIDER: S-EPMC5746193 | biostudies-literature | 2017 Sep
REPOSITORIES: biostudies-literature
ACCESS DATA