Targeting protein-ligand neosurfaces with a generalizable deep learning tool.

Molecular recognition events between proteins drive biological processes in living systems. However, higher levels of mechanistic regulation have emerged, in which protein-protein interactions are conditioned to small molecules. Despite recent advances, computational tools for the design of new chemically induced protein interactions have remained a challenging task for the field.

Elucidating stearoyl metabolism and NCOA4-mediated ferroptosis in gastric cancer liver metastasis through multi-omics single-cell integrative mendelian analysis: advancing personalized immunotherapy strategies.

Background: The metabolism of stearoyl-GPE plays a key role in the liver metastasis of gastric cancer. This investigation delves into the mechanisms underlying the intricate tumor microenvironment (TME) heterogeneity triggered by stearoyl metabolism in gastric cancer with liver metastasis (LMGC), offering novel perspectives for LMGC.

Objective: Utilizing Mendelian randomization, we determined that stearoyl metabolism significantly contributes to the progression of gastric cancer (GC).

Nonacademic predictors of China medical licensing examination.

Background: National Medical Licensing Examination (NMLE) is the entrance exam for medical practice in China, and its general medical knowledge test (GMKT) evaluates abilities of medical students to comprehensively apply medical knowledge to clinical practice. This study aimed to identify nonacademic predictors of GMKT performance, which would benefit medical schools in designing appropriate strategies and techniques to facilitate the transition from medical students to qualified medical practitioners.

Methods: In 1202 medical students, we conducted the deletion-substitution-addition (DSA) and structural equation model (SEM) analyses to identify nonacademic predictors of GMKT performance from 98 candidate variables including early life events, physical conditions, psychological and personality assessments, cognitive abilities, and socioeconomic conditions.

Is it feasible to treat polycystic ovarian syndrome with or without insulin resistance using glucokinase activators as novel hypoglycaemic medications? A protocol for a systematic review and meta-analysis.

Introduction: A variety of hypoglycaemic drugs are used to treat polycystic ovarian syndrome (PCOS), but their efficacy remains insufficient. Glucokinase activators (GKAs) are a unique class of hypoglycaemic medications with emerging potential, notably in significantly reducing insulin resistance (IR). Nevertheless, the efficacy of GKAs in treating PCOS, particularly in the absence or presence of IR, remains uncertain.

Effects of environmental factors on the phenotypic traits and seed element accumulation of wild Elymus nutans in Tibet.

Soil nutrients and meteorological conditions are pivotal environmental factors influencing plant growth and development. This study systematically analyzes how soil nutrients and meteorological factors influence the phenotypic growth and seed production of wild Elymus nutans in Tibet. These environmental factors are critical ecological determinants, and this research seeks to unveil the complex and diverse ecological adaptation mechanisms of the species.