Bienvenue sur CucurbitAgent

Une plateforme intelligente de nouvelle génération pour la recherche sur les Cucurbitaceae, intégrant les grands modèles de langage et les données multiomiques.

Cucurbit

À propos de CucurbitAgent

Les cucurbitacées — pastèque, concombre, melon, courge, melon amer et cultures apparentées — sont des cultures importantes dans le monde entier. Les jeux de données génomiques et la recherche publiée fournissent des informations précieuses pour comprendre la fonction des gènes et améliorer les caractères agronomiques. Ces ressources sont cependant dispersées entre bases de données et formats, et les identifiants de gènes peuvent différer selon les versions des génomes. Les chercheurs doivent souvent consulter plusieurs sources pour relier un gène à ses profils d'expression, ses variants génétiques, sa structure protéique prédite et les résultats publiés.

Développé par le Beijing Vegetable Research Center (BVRC) de la Beijing Academy of Agriculture and Forestry Sciences (BAAFS), CucurbitAgent rassemble des ressources multi-omiques de neuf espèces de cucurbitacées cultivées. La plateforme intègre annotations de gènes et homologues candidats, correspondances d'identifiants de gènes entre versions, variants génétiques naturels, profils d'expression tissulaire et relations de co-expression, structures protéiques prédites par ESMFold, sites de liaison prédits par GPSite, ainsi qu'un corpus documentaire organisé.

Les utilisateurs peuvent explorer ces ressources en posant des questions en langage naturel. Un agent IA conversationnel sélectionne les outils pertinents, récupère les informations dans les bases de données sous-jacentes et les intègre en réponses liées aux enregistrements sources. Les chercheurs peuvent également interroger directement les modules Gène, Expression, Protéine et Littérature, et télécharger les ressources génomiques disponibles.

En reliant ces sources de preuves complémentaires, CucurbitAgent aide les chercheurs à étudier des gènes candidats, à interpréter des profils d'expression, à examiner les variants dans leur contexte séquentiel et structural, et à formuler des hypothèses pour les études fonctionnelles et l'amélioration des cultures.

Dernière littérature

(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

🔗 Ressources externes

Nous citer

Si cette plateforme vous est utile dans vos recherches, merci de citer :

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