Recently, three articles in the nature sub Journal of protein and its omics knowledge map have solved the core problems of biology

The first article is 2022 year 1 month 31 Published in Japan Nature biote Articles on “A knowledge graph to interpret clinical proteomics data“, The author uses proteomics knowledge map , It provides reliable data from omics to assist clinical decision-making 、 And a validated analysis framework .

Thesis link ：

https://www.nature.com/articles/s41587-021-01145-6

Code ：

https://github.com/MannLabs/CKG

The second paper is 2022 year 2 month 11 Published in Japan Nautre comm Articles on “Machine learning prediction and tau-based screening identifies potential Alzheimer’s disease genes relevant to immunity”. Developed for machine learning based on meta path (ProteinGraphML) Knowledge map . The author is based on Target Central Resource Database Protein knowledge map and transforming evidence paths into vectors through meta path matching , Then the characteristics between genes and diseases are extracted , The last use is called MPxgb(AD) Of XGBoost Trained and optimized the model .

Thesis link ：

https://www.nature.com/articles/s42003-022-03068-7

The third article is 2022 year 1 month 23 Published in Japan ICLR2022 Articles on “OntoProtein：Protein Pretraining with Gene ontology embedding”. The author will GO（ Gene ontology ） The structure in is a general framework for protein pre training model , Build a new large-scale knowledge map , All nodes in the knowledge map are represented by GO And its related protein composition , Gene annotation text or protein sequence description .

Thesis link ：

https://arxiv.org/abs/2201.11147