AIMC Topic: Blood Proteins
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A Combination of Machine Learning and PBPK Modeling Approach for Pharmacokinetics Prediction of Small Molecules in Humans.
Pharmaceutical research
Jun 25, 2024
PURPOSE: Recently, there has been rapid development in model-informed drug development, which has the potential to reduce animal experiments and accelerate drug discovery. Physiologically based pharmacokinetic (PBPK) and machine learning (ML) models ...
Expert-level detection of M-proteins in serum protein electrophoresis using machine learning.
Clinical chemistry and laboratory medicine
Jun 17, 2024
OBJECTIVES: Serum protein electrophoresis (SPE) in combination with immunotyping (IMT) is the diagnostic standard for detecting monoclonal proteins (M-proteins). However, interpretation of SPE and IMT is weakly standardized, time consuming and invest...
Nanoinformatics based insights into the interaction of blood plasma proteins with carbon based nanomaterials: Implications for biomedical applications.
Advances in protein chemistry and structural biology
Feb 19, 2024
In the past three decades, interest in using carbon-based nanomaterials (CBNs) in biomedical application has witnessed remarkable growth. Despite the rapid advancement, the translation of laboratory experimentation to clinical applications of nanomat...
Predicting molecular docking of per- and polyfluoroalkyl substances to blood protein using generative artificial intelligence algorithm DiffDock.
BioTechniques
Nov 10, 2023
This study computationally evaluates the molecular docking affinity of various perfluoroalkyl and polyfluoroalkyl substances (PFAs) towards blood proteins using a generative machine-learning algorithm, DiffDock, specialized in protein-ligand blind-do...
Artificial intelligence in serum protein electrophoresis: history, state of the art, and perspective.
Critical reviews in clinical laboratory sciences
Nov 1, 2023
Serum protein electrophoresis (SPEP) is a valuable laboratory test that separates proteins from the blood based on their electrical charge and size. The test can detect and analyze various protein abnormalities, and the interpretation of graphic SPEP...
IDL-PPBopt: A Strategy for Prediction and Optimization of Human Plasma Protein Binding of Compounds via an Interpretable Deep Learning Method.
Journal of chemical information and modeling
May 24, 2022
The prediction and optimization of pharmacokinetic properties are essential in lead optimization. Traditional strategies mainly depend on the empirical chemical rules from medicinal chemists. However, with the rising amount of data, it is getting mor...
Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine.
Journal of healthcare engineering
Mar 16, 2022
Toxoplasmosis is a zoonotic illness caused by . Those with a normal immune system normally recover without treatment. Immunocompromised individuals and pregnant women must be treated regularly. Toxoplasmosis is a serious illness that may reactivate i...
Engineered nanoparticles enable deep proteomics studies at scale by leveraging tunable nano-bio interactions.
Proceedings of the National Academy of Sciences of the United States of America
Mar 11, 2022
SignificanceDeep profiling of the plasma proteome at scale has been a challenge for traditional approaches. We achieve superior performance across the dimensions of precision, depth, and throughput using a panel of surface-functionalized superparamag...
Fermented medicinal herbs improve hematological and physiological profile of Striped catfish .
F1000Research
Jun 14, 2021
This study sought to determine the effect of fermented medicinal herbs (FMH), cutchery ( ), turmeric ( ) and curcuma ( ) in combination with molasses and probiotic drink (Yakult), administered orally on the hematological and physiological profile of...
Data mining of human plasma proteins generates a multitude of highly predictive aging clocks that reflect different aspects of aging.
Aging cell
Oct 8, 2020
We previously identified 529 proteins that had been reported by multiple different studies to change their expression level with age in human plasma. In the present study, we measured the q-value and age coefficient of these proteins in a plasma prot...
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