Insight into the Structure of Antifungal Cyrmenins: Conformational Studies of Unique Dehydroamino Acid, O-Methyldehydroserine.

O-Methyldehydroserine, ΔSer(Me), is a non-standard α,β-dehydroamino acid, which occurs naturally in Cyrmenins with potential pharmaceutical application. The C-terminal part and the side chain of the ΔSer(Me) residue constitute the β-methoxyacrylate unit, responsible for antifungal activity of Cyrmenins. The short model, Ac-ΔSer(Me)-OMe, was analyzed considering the geometrical isomer Z () and E ().

Sensing the Changes in Stratum Corneum Using Fourier Transform Infrared Microspectroscopy and Hyperspectral Data Processing.

The stratum corneum (SC) forms the outermost layer of the skin, playing a critical role in preventing water loss and protecting against external biological and chemical threats. Approximately 90% of the SC consists of large, flat corneocytes, yet its barrier function primarily relies on the intercellular lipid matrix that surrounds these cells. Traditional methods for characterizing these lipids, such as Fourier transform infrared spectroscopy (FTIR), typically involve macroscopic analysis using attenuated total reflection (ATR) techniques.

Mutation-Specific CRISPR Targeting with SaCas9 and AsCas12a Restores Therapeutic Sensitivity in Treatment-Resistant Melanoma.

Melanoma remains one of the most challenging cancers to treat effectively with drug resistant remaining a constant concern, primarily with activating mutations. Mutations in the gene appear in approximately 50% of patients, 90% of which are V600E. Two frontline inhibitors (BRAFi), vemurafenib and dabrafenib, are frequently used to treat unresectable or metastatic V600E melanoma.

Lobelia Lakes' Vegetation and Its Photosynthesis Pathways Concerning Water Parameters and the Stable Carbon Isotopic Composition of Plants' Organic Matter.

Most of the aquatic vegetation produces organic substances via the C3 photosynthetic pathway (mosses, isoetids- L., (L.) Raf.

Self-Reported Learning Strategies and Preferences in Health Informatics.

Despite the proliferation of educational programmes in Health Informatics (HI) worldwide, there is limited knowledge regarding students' preferences and learning strategies in HI courses. To address this gap, we conducted a study to gather and analyse data from three HI courses. Employing the Motivated Strategies for Learning Questionnaire (MSLQ) and theories of deep and surface learning, we designed a questionnaire to collect data.