Targeting unique ligand binding domain structural features downregulates DKK1 in Y537S ESR1 mutant breast cancer cells.

Resistance to endocrine therapies remains a major clinical hurdle in breast cancer. Mutations to estrogen receptor alpha (ERα) arise after continued therapeutic pressure. Next generation selective estrogen receptor modulators and degraders/downregulators (SERMs and SERDs) show clinical efficacy, but responses are often non-durable.

Evaluation of Genetic Diversity of Black Soybean [ (L.) Merr] by Using RAPD and ISSR Markers.

<b>Background and Objective:</b> Black soybeans [<i>Glycine max</i> (L.) Merr] are among the important crops, but the cultivated resources are normally low-yielding, susceptible to diseases and low profit. Therefore, it is necessary to evaluate the genetic diversity of black soybean germplasms for breeding programs.

Prilling of crystallizable water-in-oil emulsions: Towards co-encapsulation of hydrophilic and lipophilic active ingredients within lipid microparticles.

Multiparticulate drug delivery systems offer advantages in controlled release, dose flexibility, and personalized medicine. Fusion prilling, a process that produces spherical lipid-based microparticles through vibrating nozzles, is gaining interest in the field. This study aims to explore the use of fusion prilling to encapsulate crystallizable water-in-oil emulsions, enabling the incorporation of hydrophilic active pharmaceutical ingredients (APIs) within lipid matrices.

Reversible light-responsive protein hydrogel for on-demand cell encapsulation and release.

The design of biomaterials that can reconfigure on-demand in response to external stimuli is an emerging area in materials research. However, achieving reversible assembly of protein-based biomaterials by light input remains a major challenge. Here, we present the engineering of a new protein material that is capable of switching between liquid and solid state reversibly, controlled by lights of different wavelengths.

Integrating CNN and Bi-LSTM for protein succinylation sites prediction based on Natural Language Processing technique.

Protein succinylation, a post-translational modification wherein a succinyl group (-CO-CH₂-CH₂-CO-) attaches to lysine residues, plays a critical regulatory role in cellular processes. Dysregulated succinylation has been implicated in the onset and progression of various diseases, including liver, cardiac, pulmonary, and neurological disorders. However, identifying succinylation sites through experimental methods is often labor-intensive, costly, and technically challenging.