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| http://dx.doi.org/10.3389/fgene.2012.00178 | DOI Listing |
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Innovative analytical methodology for skin anti-aging compounds discovery from plant extracts: Integration of High-Performance Thin-Layer Chromatography-in vitro spectrophotometry bioassays with multivariate modeling and molecular docking.
J Chromatogr A
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Department of Analytical Chemistry, University of Belgrade-Faculty of Chemistry, Studentski trg 12-16, 11158 Belgrade, Serbia. Electronic address:
Skin aging, characterized by reduced elasticity, wrinkles, and changes in pigmentation, presents significant challenges in the cosmetics industry. Identifying compounds that can help mitigate these effects is crucial to developing effective anti-aging treatments and improving skin health. An advanced analytical approach for identifying skin anti-aging compounds within complex natural mixtures must be developed to achieve this.
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Faculty of Biotechnologies (BioTech), ITMO University, 9 Lomonosova Street, 191002, Saint Petersburg, Russia.
Antimicrobial peptides (AMPs) are small, positively charged biomolecules produced by various organisms such as animals, microbes, and plants. These AMPs play a significant role in defense mechanisms and protect from adverse conditions. The emerging problem of drug resistance in microbes poses a global health challenge in treating diseases.
View Article and Find Full Text PDFLong-range organization of intestinal 2D-crypts using exogenous Wnt3a micropatterning.
Nat Commun
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Biomimetic Systems for Cell Engineering Laboratory, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
Intestinal epithelial cells are segregated into proliferative crypts and differentiated regions. This organization relies on specific signals, including Wnt3a, which regulates cell proliferation within crypts, and Eph/Ephrin, which dictates cell positioning along the crypt-villus axis. However, studying how the spatial distributions of these signals influences crypt-villus organization is challenging both in vitro and in vivo.
View Article and Find Full Text PDFGenomic language models: opportunities and challenges.
Trends Genet
January 2025
Computer Science Division, University of California, Berkeley, CA, USA; Department of Statistics, University of California, Berkeley, CA, USA; Center for Computational Biology, University of California, Berkeley, CA, USA. Electronic address:
Large language models (LLMs) are having transformative impacts across a wide range of scientific fields, particularly in the biomedical sciences. Just as the goal of natural language processing is to understand sequences of words, a major objective in biology is to understand biological sequences. Genomic language models (gLMs), which are LLMs trained on DNA sequences, have the potential to significantly advance our understanding of genomes and how DNA elements at various scales interact to give rise to complex functions.
View Article and Find Full Text PDFNIST Mass Spectral Libraries in the Context of the Circular Economy of Plastics.
J Am Soc Mass Spectrom
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Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland, 20899, United States.
The Mass Spectrometry Data Center (MSDC) has recently started improving existing libraries and creating new ones for identifying and analyzing plastics-related compounds (PRC) and materials (PRM) as part of the NIST circular economy program. PRC are small molecules of dissimilar chemical nature; hence, to increase coverage, we have used three types of ionizations: EI, ESI, and APCI. PRM are solids that include polymers, polymer mixtures, and commercial plastics, so we have used pyrolysis-gas chromatography (py-GC-MS) to create a new searchable library.
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