The Hallmarks of Cancer framework has played a seminal role in developing our understanding of cancer biology. By design, these hallmarks abstract cancer into a common set of functional capabilities. The hallmarks thus constitute an intentionally red... read more
Cancer cachexia is a systemic metabolic syndrome driven by tumor-induced disruption of whole-body homeostasis. Characterized by skeletal muscle atrophy and adipose tissue loss, cachexia leads to functional decline, impaired quality of life, reduced t... read more
Being able to control the complementarity and hindrance between target DNA and base editor proteins enables precise, bystander-free editing. Here, we combined combinatorial mutagenesis with machine learning to analyze and engineer these interactions ... read more
Pre-operative identification of cervical lymph-node metastasis (LNM) guides surgical extent in papillary thyroid carcinoma (PTC) but remains imperfect with conventional ultrasound. To quantify the diagnostic accuracy of ultrasound-based radiomics for... read more
OBJECTIVE: Large language models (LLMs) that can process both images and text are increasingly being used in radiology. This study aimed to evaluate the performance of LLMs including GPT-4 Omni (GPT-4o), Claude-3.5-Sonnet (Claude), and Gemini 1.5 Pro... read more
Enzymatic polyethylene terephthalate (PET) degradation holds promise for environmental restoration. However, limited substrate catalytic capacity hinders its application in addressing PET plastic contamination. To enhance enzyme-substrate interaction... read more
RATIONALE AND OBJECTIVES: Preoperatively identifying patients at high risk of bone metastasis (BM) remains challenging in resectable lung adenocarcinoma (LUAD), limiting early risk-adapted surveillance. We aimed to develop and validate an interpretab... read more
Journal of chemical information and modeling
Apr 16, 2026
Spin-crossover (SCO) complexes are molecular materials capable of reversibly switching between high-spin (HS) and low-spin (LS) states in response to external stimuli. Predicting SCO from crystallographic data allows for the efficient design of new S... read more
In their recently published article (DOI: 10.1021/acs.analchem.5c03117), Xu et al. argue that the detection of differentially abundant proteins in proteomic experiments should go beyond traditional statistical methods and should leverage unsupervised... read more
This study presents a modeling approach to predict the soil-water partitioning coefficient (Kd, L kg-1) for per- and poly-fluoroalkyl substances (PFASs) as a function of their molecular connectivity indices (MCIs) and soil properties (soil organic ca... read more
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