日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Experimental and machine learning-based exploration of repurposed drugs reveals chemical features underlying phospholipidosis

通过实验和机器学习方法对现有药物进行探索,揭示了磷脂沉积症的潜在化学特征。

Kuzikov, Maria; Kalman, Adelinn; Karki, Reagon; Reinshagen, Jeanette; Huchting, Johanna; Qian, Kun; Axelsson, Hanna; Tampere, Marianna; Östling, Päivi; Seashore-Ludlow, Brinton; Gadiya, Yojana; Gribbon, Philip; Zaliani, Andrea

The COMBINE pneumonia model: a multicenter study to standardize a mouse pneumonia model with Pseudomonas aeruginosa and Klebsiella pneumoniae for antibiotic development

COMBINE肺炎模型:一项多中心研究,旨在标准化铜绿假单胞菌和肺炎克雷伯菌小鼠肺炎模型,用于抗生素研发

Hansen, Jon U; Arrazuria, Rakel; Hoover, Jennifer L; Kerscher, Bernhard; Huseby, Douglas L; Sordello, Sylvie; Gribbon, Philip; Gadiya, Yojana; Berlin, Leonie von; Witt, Gesa; Tassi, Natália; Rosenborg, Frederikke; Cao, Sha; Bekeredjian-Ding, Isabelle; Lindahl, Otto; Hughes, Diarmaid; Friberg, Lena E; Vingsbo Lundberg, Carina

Correction to "Natural Products Have Increased Rates of Clinical Trial Success throughout the Drug Development Process"

更正“天然产物提高了药物研发过程中的临床试验成功率”

Domingo-Fernández, Daniel; Gadiya, Yojana; Preto, António José; Krettler, Christoph A; Mubeen, Sarah; Allen, August; Healey, David; Colluru, Viswa

pyBiodatafuse: extending interoperability of data using modular queries across biomedical resources

pyBiodatafuse:利用模块化查询扩展生物医学资源的数据互操作性

Gadiya, Yojana; Millán Acosta, Javier; Ammar, Ammar; Adriaque Lozano, Alejandro; Wetstede, Delano; Martinát, Dominik; Sima, Ana Claudia; Mei, Hailiang; Willighagen, Egon; Abbassi-Daloii, Tooba

Predicting Antimicrobial Class Specificity of Small Molecules Using Machine Learning

利用机器学习预测小分子抗菌药物的类别特异性

Gadiya, Yojana; Genilloud, Olga; Bilitewski, Ursula; Brönstrup, Mark; von Berlin, Leonie; Attwood, Marie; Gribbon, Philip; Zaliani, Andrea

Defining the limits of plant chemical space: challenges and estimations

界定植物化学空间的界限:挑战与估算

Hart, Chloe Engler; Gadiya, Yojana; Kind, Tobias; Krettler, Christoph A; Gaetz, Matthew; Misra, Biswapriya B; Healey, David; Allen, August; Colluru, Viswa; Domingo-Fernández, Daniel

From library to landscape: integrative annotation workflows for compound libraries in drug repurposing

从库到景观:药物重定位中化合物库的整合注释工作流程

Reinshagen, Jeanette; Seashore-Ludlow, Brinton; Gadiya, Yojana; Gustavsson, Anna-Lena; Tanoli, Ziaurrehman; Aittokallio, Tero; Huchting, Johanna; Jenmalm-Jensen, Annika; Gribbon, Philip; Zaliani, Andrea; Ballante, Flavio

KGG: a fully automated workflow for creating disease-specific knowledge graphs

KGG:用于创建疾病特异性知识图谱的全自动工作流程

Karki, Reagon; Gadiya, Yojana; Zaliani, Andrea; Pokharel, Bishab; Babaiha, Negin Sadat; Ostaszewski, Marek; Hofmann-Apitius, Martin; Gribbon, Philip

Somatic estrogen receptor α mutations that induce dimerization promote receptor activity and breast cancer proliferation

诱导二聚化的体细胞雌激素受体α突变可促进受体活性和乳腺癌增殖。

Seema Irani,Wuwei Tan,Qing Li,Weiyi Toy,Catherine Jones,Mayur Gadiya,Antonio Marra,John A Katzenellenbogen,Kathryn E Carlson,Benita S Katzenellenbogen,Mostafa Karimi,Ramya Segu Rajappachetty,Isabella S Del Priore,Jorge S Reis-Filho,Yang Shen,Sarat Chandarlapaty

Exploring SureChEMBL from a drug discovery perspective

从药物发现的角度探索 SureChEMBL

Gadiya, Yojana; Shetty, Simran; Hofmann-Apitius, Martin; Gribbon, Philip; Zaliani, Andrea