Proteome-wide prediction and analysis of the <i>Cryptosporidium parvum</i> protein-protein interaction network through integrative methods.
第一作者:
Panyu,Ren
第一单位:
State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing 100193, China.
作者:
关键词
AC, Auto CovarianceAI, artificial intelligenceAP-MS, affinity purification coupled with mass spectrometryBP, biological processC. parvum, Cryptosporidium parvumCC, cellular componentCryptosporidium parvumDDI, domain-domain interactionDM, distributed-memoryDMI, domain-motif interactionDPC, Di-peptide CompositionDoc2Vec, Document to vectorDomain-domain interactionGO, Gene OntologyHSP70s, 70kDa heat shock proteinsIM, interolog mappingITA, isothermal titration calorimetryInterolog mappingKEGG, Kyoto Encyclopedia of Genes and GenomesLD, Local DescriptorMF, molecular functionML, machine learningMachine learningP. falciparum, Plasmodium falciparumPCA, protein complementation assayPPIs, protein-protein interactionsPR, Precision-RecallPredictionProtein–protein interactionRF, Random ForestROC, Receiver Operating CharacteristicSGD, stochastic gradient descentSPR, surface plasmon resonanceY2H, yeast two-hybrid
DOI
10.1016/j.csbj.2022.05.017
PMID
35615014
发布时间
2022-07-16
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