Modeling the simultaneous dynamics of proteins in blood plasma and the cerebrospinal fluid in human in vivo
Giroux, P.; Vialaret, J.; Kindermans, J.; Gabelle, A.; Bauchet, L.; Hirtz, C.; Lehmann, S.; Colinge, J.
Show abstract
The analysis of protein dynamics or turnover in patients has the potential to reveal altered protein recycling such as in Alzheimer disease, and to provide informative data regarding drug efficacy, or certain biological processes. The observed protein dynamics in a solid tissue or a fluid is the net result of protein synthesis and degradation, but also transport across biological compartments. We report an accurate 3-biological compartment model able simultaneously account for the protein dynamics observed in blood plasma and the cerebrospinal fluid (CSF) including a hidden central nervous system (CNS) compartment. We successfully applied this model to 69 proteins of a single individual displaying similar or very different dynamics in plasma and CSF. This study put a strong emphasis on the methods and tools needed develop this type of model. We believe it will be useful to any researcher dealing with protein dynamics data modeling.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Positional SHAP (PoSHAP) for Interpretation of Machine Learning Models Trained from Biological Sequences 93%
- Semi-supervised Bayesian integration of multiple spatial proteomics datasets 92%
- Structural determination of Streptococcus pyogenes M1 protein interactions with human immunoglobulin G using integrative structural biology 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.