Results 171 to 180 of about 1,231,953 (350)
Uncovering Key Characteristics of Antibacterial Peptides through Machine Learning
Machine‐learning (ML) techniques using random forest classification models revealed key characteristics that predict effective antimicrobial peptides (AMPs) targeting Gram‐negative bacteria, Gram‐positive bacteria, and mycobacteria. The ideal cLogP (<$ < $−6) and net‐charge (≤+4) threshold was the same for all three targets with variations in the ...
Jooyoung Roh +2 more
wiley +1 more source
Non-TNF-targeted drugs in rheumatic diseasescombined with latent tuberculosis infection. [PDF]
Xiang Z, Liuyu, Zou H.
europepmc +1 more source
Quantifying Protein–Glycan Interactions Using Native Mass Spectrometry
ABSTRACT Interactions between glycan‐binding proteins (GBPs) and carbohydrates (glycans) are essential to many biological processes relevant to human health and disease. For most GBPs, however, their glycan interactome—the repertoire of glycans recognized and their specificities—is poorly defined.
Duong T. Bui +4 more
wiley +1 more source
Anthony M. Cadena, S. Fortune, J. Flynn
semanticscholar +1 more source
Data‐Independent Acquisition Mass Spectrometry in Tumor Classification and Cancer Biomarker Research
Abstract Cancer treatment is far from optimal also because current classification systems do not reflect the complex molecular status of the tumor and its phenotype in sufficient detail. To construct molecular tumor classifiers, omics tools provide complex molecular data reflecting many aspects from genotype to phenotype.
Jan Simonik +3 more
wiley +1 more source
Abstract Background Peripheral disease mechanisms such as immune dysregulation may contribute to Parkinson's disease (PD). To investigate interactions between common PD mutations and immune responses to environmental pathogens, we studied responses to Pseudomonas aeruginosa (P.
Julian R. Mark +8 more
wiley +1 more source
Tuberculosis: Clinical Laboratory Diagnostic Techniques and Future Perspectives. [PDF]
Song Q, Liu J, Wang C.
europepmc +1 more source
Antimicrobial resistance in Mycobacterium tuberculosis: mechanistic and evolutionary perspectives
Sebastian M. Gygli +3 more
semanticscholar +1 more source
The goal of this work is to look at how a nonlinear model describes hematopoiesis and its complexities utilizing commonly used techniques with historical and material links. Based on time delay, the Mackey–Glass model is explored in two instances. To offer a range, the relevance of the parameter impacting stability (bifurcation) is recorded.
Shuai Zhang +5 more
wiley +1 more source

