We present PepFuNN, a new open-source version of the PepFun package with functions to study the chemical space of peptide libraries and perform structure-activity relationship analyses. PepFuNN is a Python package comprising five modules to study peptides with natural amino acids and, in some cases, sequences with non-natural amino acids based on the availability of a public monomer dictionary. The modules allow calculating physicochemical properties, performing similarity analysis using different peptide representations, clustering peptides using molecular fingerprints or calculated descriptors, designing peptide libraries based on specific requirements, and a module dedicated to extracting matched pairs from experimental campaigns to guide the selection of the most relevant mutations in design new rounds. The code and tutorials are available at https://github.com/novonordisk-research/pepfunn.
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http://dx.doi.org/10.1002/psc.3666 | DOI Listing |
Alzheimers Dement
December 2024
Yonsei University, Incheon, Incheon, Korea, Republic of (South).
Background: The accumulation of amyloidogenic proteins is recognized as a primary biomarker, initiator of pathology, and a potential therapeutic target for Alzheimer's disease (AD). An unbiased screening of a small molecule library was conducted to identify new chemical compounds exhibiting amyloid-dissociative properties.
Method: The ability of aryloxypropanolamine derivatives to dissociate amyloid-β (Aβ) aggregates was evaluated through in vitro assays.
Alzheimers Dement
December 2024
Sanford burnham prebys medical discovery institute, San Diego, CA, USA.
Background: A pathological hallmark of Alzheimer's disease (AD) is the accumulation of amyloid-beta peptide (Aß). Potential treatments targeting Aß production such as γ-secretase inhibitors have had limited success. A promising alternative approach involves addressing early synaptic dysfunction by modulating molecules like striatal-enriched protein tyrosine phosphatase (STEP), whose levels and activity are upregulated by Aß.
View Article and Find Full Text PDFJ Pept Sci
February 2025
Novo Nordisk Research Center Seattle, Novo Nordisk A/S, Seattle, Washington, USA.
We present PepFuNN, a new open-source version of the PepFun package with functions to study the chemical space of peptide libraries and perform structure-activity relationship analyses. PepFuNN is a Python package comprising five modules to study peptides with natural amino acids and, in some cases, sequences with non-natural amino acids based on the availability of a public monomer dictionary. The modules allow calculating physicochemical properties, performing similarity analysis using different peptide representations, clustering peptides using molecular fingerprints or calculated descriptors, designing peptide libraries based on specific requirements, and a module dedicated to extracting matched pairs from experimental campaigns to guide the selection of the most relevant mutations in design new rounds.
View Article and Find Full Text PDFFront Physiol
December 2024
School of Sport and Health, Shandong Sport University, Jinan, Shandong, China.
Objective: Meta-analysis was used to evaluate the effects of an exercise intervention on bone mineral content (BMC), bone mineral density (BMD), and bone metabolism in adolescents.
Methods: A systematic search of PubMed, Embase, Cochrane Library, and Web of Science for RCTs on "exercise, adolescents, BMD, bone metabolism" up to 10 September 2024. Included RCTs focused on effects of exercise on BMC, BMD, and bone metabolism in 10-19 years old, with physical activity as exercise group and daily living/primal exercise as control group.
Glucagon-like peptide-1 agonists (GLP-1 RAs) have produced substantial weight loss effects in type 2 diabetes mellitus (T2DM) cohorts, but these effects have not been thoroughly studied in patients with obesity and without diabetes. This review aimed to analyze direct comparative studies for semaglutide versus other GLP-1 RA (liraglutide and efinopegdutide) in facilitating weight loss and evaluating adverse events in patients with obesity. A systematic search following the guidelines established by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was performed in PubMed, Embase, and Cochrane Library for direct comparative studies comparing semaglutide with other GLP-1 RA on weight loss in patients with obesity.
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