Bienvenido a CucurbitAgent

Plataforma inteligente de nueva generación para la investigación de Cucurbitaceae, que integra grandes modelos de lenguaje con datos multiómicos.

Cucurbit

Acerca de CucurbitAgent

Las cucurbitáceas —sandía, pepino, melón, calabaza, melón amargo y cultivos afines— son cultivos importantes en todo el mundo. Los conjuntos de datos genómicos y la investigación publicada proporcionan información valiosa para comprender la función de los genes y mejorar los caracteres de los cultivos. Sin embargo, estos recursos están distribuidos entre bases de datos y formatos, y los identificadores de genes pueden variar entre versiones del genoma. Los investigadores a menudo deben consultar múltiples fuentes para conectar un gen con sus patrones de expresión, sus variantes genéticas, su estructura proteica predicha y los hallazgos publicados.

Desarrollado por el Beijing Vegetable Research Center (BVRC) de la Beijing Academy of Agriculture and Forestry Sciences (BAAFS), CucurbitAgent reúne recursos multiómicos de nueve especies de cucurbitáceas cultivadas. La plataforma integra anotaciones de genes y homólogos candidatos, mapeos de identificadores de genes entre versiones, variantes genéticas naturales, perfiles de expresión tisular y relaciones de coexpresión, estructuras proteicas predichas por ESMFold, sitios de unión predichos por GPSite y un corpus de literatura curado.

Los usuarios pueden explorar estos recursos haciendo preguntas en lenguaje natural. Un agente de IA conversacional selecciona las herramientas pertinentes, recupera información de las bases de datos subyacentes e integra los resultados en respuestas vinculadas a los registros de origen. Los investigadores también pueden buscar directamente en los módulos Gen, Expresión, Proteína y Literatura, y descargar los recursos genómicos disponibles.

Al conectar estas fuentes de evidencia complementarias, CucurbitAgent ayuda a los investigadores a estudiar genes candidatos, interpretar patrones de expresión, examinar variantes en su contexto de secuencia y estructura, y desarrollar hipótesis para estudios funcionales y el mejoramiento de cultivos.

Investigación reciente

(2026-11-02)
Superior Therapeutic Efficacy and Reduced Systemic Toxicity of a Cucurbit[7]uril-Camptothecin Supramolecular Complex in Colorectal Cancer.
Molecular pharmaceutics | 2026 Nov 2

The clinical application of camptothecin (CPT) is limited by poor solubility and severe toxicity. This study compares the therapeutic performance of a cucurbit[7]uril-based CPT complex (CB[7]-CPT) with free CPT and β-cyclodextrin-CPT (β-CD-CPT) in colorectal cancer models. In vitro, free CPT, β-CD-CPT, and CB[7]-CPT were tested on normal LO2 and cancerous HCT116 cells. CB[7] encapsulation reduced toxicity toward normal LO2 cells (IC50: 0.47 μM, ∼25-fold higher than the IC50 of free CPT) while improving potency against HCT116 cells (CB[7]-CPT IC50: 0.24 μM; free CPT IC50: 0.55 μM, ∼2-fold more potent than free CPT). The selectivity index improved from 0.034 (CPT) to 1.976 (CB[7]-CPT), indicating a wide safety margin. Apoptosis assays confirmed that CB[7]-CPT induced significantly greater apoptotic cell death at equivalent concentrations than either free CPT or β-CD-CPT. In HCT116 xenograft models, CB[7]-CPT achieved a tumor inhibition rate of 76%, markedly outperforming free CPT (46%) and β-CD-CPT (62%). This enhanced efficacy was accompanied by increased intratumoral apoptosis, reduced proliferation, and decreased microvessel density. Importantly, CB[7]-CPT markedly attenuated liver, kidney, and gastrointestinal toxicity typically associated with CPT exposure. Pharmacokinetically, CB[7]-CPT displayed a 1.94-fold higher AUC and a 1.59-fold prolonged elimination half-life relative to free CPT, reflecting extended circulation and improved systemic exposure. These findings collectively establish CB[7]-CPT as a highly effective and safer alternative not only to free CPT but also to conventional cyclodextrin-based formulations, demonstrating enhanced selectivity, robust pro-apoptotic activity, and a superior safety profile.

Effects of LD20 exposure to insecticides on the reproductive fitness of Zeugodacus cucurbitae (Diptera: Tephritidae).
Journal of economic entomology | 2026 Nov 2

The melon fly, Zeugodacus cucurbitae (Coquillett), is a major pest of cucurbitaceous fruits, and insecticides are widely used for its management. However, sometimes environmental factors may reduce insecticide deposits below lethal levels, and adult flies may receive only partial exposure during spraying, resulting in exposure to non-lethal doses. This study evaluated the reproductive fitness of Z. cucurbitae survivors following LD20 exposure to commercially available formulations of fipronil, spinosad, and malathion. Adult flies surviving topical LD20 treatment were assigned to 4 treatment combinations: (1) treated female and treated male (F+M+), (2) treated female and untreated male (F+M-), (3) untreated female and treated male (F-M+), and (4) untreated female and untreated male (F-M-). Malathion (0.18 μg/fly) exerted the most pronounced effects on Z. cucurbitae, significantly reducing mating frequency, progeny production, and adult longevity of treated flies, while increasing the proportion of malformed offspring. In contrast, fipronil (0.04 μg/fly) and spinosad (0.005 μg/fly) exhibited significant effects only when both sexes were treated. Notably, LD20 treatment with malathion enhanced the mating competitiveness of treated female flies, indicating a potential stimulatory effect. The findings suggest that LD20 of malathion had a significant impact on the reproductive fitness of melon flies, even when only 1 of the sexes was treated. In contrast, spinosad and fipronil produced adverse effects only when both sexes were treated, with minimal effects observed when only 1 sex was treated.

De novo creation of solid-placenta, few-seeded melon via targeted mutation of CmSLM/CmAGL11
Molecular Horticulture | 2026-11-01

🔗 Recursos externos

Cítenos

Si esta plataforma resulta útil para su investigación, por favor cite:

CucurbitAgent: An AI agent for exploring cucurbit multi-omics resources. Rong Zhang, Jian Zhang, Yuming Zhang, et al. bioRxiv 2026.10.09.758138; doi: https://doi.org/10.64898/2026.10.09.758138