The potential of a data centred approach & knowledge graph data representation in chemical safety and drug design-Reference-Cited by-同舟云学术

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The potential of a data centred approach & knowledge graph data representation in chemical safety and drug design

Published:2022 Issue: Volume:20 Page:4837-4849
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Pavel Alisa,Saarimäki Laura A.,Möbus Lena,Federico Antonio,Serra Angela,Greco Dario

Funder

HORIZON EUROPE European Research Council

European Research Council

Horizon 2020 Framework Programme

Academy of Finland

EU Framework Programme for Research and Innovation Leadership in Enabling and Industrial Technologies

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference150 articles.

1. Trends in risks associated with new drug development: success rates for investigational drugs;DiMasi;Clin Pharmacol Ther,2010

2. Clinical approval success rates for investigational cancer drugs;DiMasi;Clin Pharmacol Ther,2013

3. The cost of drug development: a systematic review;Morgan;Health Policy,2011

4. Alternative animal and non-animal models for drug discovery and development: bonus or burden?;Freires;Pharm Res,2017

5. Computationally prioritized drugs inhibit SARS-CoV-2 infection and syncytia formation. Brief;Serra;Bioinformatics,2022

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1. Semantic Web and its role in facilitating ICT data sharing for the circular economy: An ontology survey;Semantic Web;2024-08-08

2. The current research status and prospects of AI in chemical science;Progress in Natural Science: Materials International;2024-08

3. Knowledge Graphs in Pharmacovigilance: A Step-By-Step Guide;Clinical Therapeutics;2024-07

4. Data Interpretation and Management Tools for Application in Pharmaceutical Research;Software and Programming Tools in Pharmaceutical Research;2024-03-19

5. A curated gene and biological system annotation of adverse outcome pathways related to human health;Scientific Data;2023-06-24

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