4.7 Article

DEBBIE: The Open Access Database of Experimental Scaffolds and Biomaterials Built Using an Automated Text Mining Pipeline

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Review Engineering, Biomedical

Linguistic Analysis Identifies Emergent Biomaterial Fabrication Trends for Orthopaedic Applications

Ryan C. C. Locke et al.

Summary: The expanding publications in tissue engineering and orthopedic tissue engineering in the past 20 years provide an opportunity to explore emerging trends in the field. A systematic search method and trend analysis using key terms have been developed to identify the accelerated publication rate and specific emergent categories driving innovation in orthopedic repair technologies. The convergence of material types and descriptors used across tissue types establishes design criteria for future research of anatomic constructs that mimic the form and function of native tissues.

ADVANCED HEALTHCARE MATERIALS (2023)

Review Chemistry, Multidisciplinary

Machine Learning-Driven Biomaterials Evolution

Ady Suwardi et al.

Summary: Biomaterials research has historically been hindered by long development periods, but the application of machine learning in materials science has greatly accelerated progress. The combination of machine learning with high-throughput theoretical predictions and experiments has shifted the traditional trial and error paradigm to a data-driven paradigm, which is driving the discovery and application of biomaterials.

ADVANCED MATERIALS (2022)

Review Engineering, Biomedical

Machine learning and big data provide crucial insight for future biomaterials discovery and research

Jacob Kerner et al.

Summary: Machine learning has been widely utilized in various fields, including biomaterials, optimizing data collection and analysis. Recent advances in biomaterials have focused on quantitative structure properties relationships, introducing four basic models for rapid development and addressing the lack of machine learning implementation in the field. This article aims to spark greater interest and awareness in utilizing computational methods for biomaterials research.

ACTA BIOMATERIALIA (2021)

Article Biochemical Research Methods

MitoTox: a comprehensive mitochondrial toxicity database

Yu-Te Lin et al.

Summary: The study has developed a comprehensive mitochondrial toxicity database that integrates a wealth of information on the chemical, biological, and mechanistic aspects of mitochondrial toxicity, providing important data resources for toxicity classification, prediction, reference, and education.

BMC BIOINFORMATICS (2021)

Article Mathematical & Computational Biology

emiRIT: a text-mining-based resource for microRNA information

Debarati Roychowdhury et al.

Summary: This study introduces a text-mining-based resource, emiRIT, to provide easy access to comprehensive miRNA information from a large volume of literature. By extracting information, users can understand the roles of miRNAs in gene regulation, diseases, biological processes, pathways, and extracellular locations, assisting them in gaining a more comprehensive understanding of miRNAs.

DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2021)

Article Biochemical Research Methods

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Jinhyuk Lee et al.

BIOINFORMATICS (2020)

Editorial Material Biochemistry & Molecular Biology

The 27th annual Nucleic Acids Research database issue and molecular biology database collection

Daniel J. Rigden et al.

NUCLEIC ACIDS RESEARCH (2020)

Editorial Material Nanoscience & Nanotechnology

Time to kick-start text mining for biomaterials

Osnat Hakimi et al.

NATURE REVIEWS MATERIALS (2020)

Editorial Material Multidisciplinary Sciences

COMPUTATIONAL MATERIALS SCIENCE Text mining facilitates materials discovery

Olexandr Isayev

NATURE (2019)

Article Environmental Sciences

Generating the Blood Exposome Database Usinga Comprehensive Text Mining and Database Fusion Approach

Dinesh Kumar Barupal et al.

ENVIRONMENTAL HEALTH PERSPECTIVES (2019)

Article Biochemical Research Methods

Biomedical named entity recognition using deep neural networks with contextual information

Hyejin Cho et al.

BMC BIOINFORMATICS (2019)

Article Mathematical & Computational Biology

The SNPcurator: literature mining of enriched SNP-disease associations

Noha S. Tawfik et al.

DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2018)

Article Mathematical & Computational Biology

Wide-scope biomedical named entity recognition and normalization with CRFs, fuzzy matching and character level modeling

Suwisa Kaewphan et al.

Database-The Journal of Biological Databases and Curation (2018)

Article Biochemistry & Molecular Biology

The ChEMBL database in 2017

Anna Gaulton et al.

NUCLEIC ACIDS RESEARCH (2017)

Article Engineering, Biomedical

cBiT: A transcriptomics database for innovative biomaterial engineering

Dennie G. A. J. Hebels et al.

BIOMATERIALS (2017)

Article Biochemistry & Molecular Biology

ChEBI in 2016: Improved services and an expanding collection of metabolites

Janna Hastings et al.

NUCLEIC ACIDS RESEARCH (2016)

Article Mathematical & Computational Biology

From data repositories to submission portals: rethinking the role of domain-specific databases in CollecTF

Sefa Kilic et al.

DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2016)

Article Biochemical Research Methods

Getting More Out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics

Hamish Cunningham et al.

PLOS COMPUTATIONAL BIOLOGY (2013)

Article Biochemistry & Molecular Biology

GenBank

Dennis A. Benson et al.

NUCLEIC ACIDS RESEARCH (2012)

Article Mathematical & Computational Biology

Text mining for the biocuration workflow

Lynette Hirschman et al.

DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2012)

Article Biotechnology & Applied Microbiology

Uberon, an integrative multi-species anatomy ontology

Christopher J. Mungall et al.

GENOME BIOLOGY (2012)

Article Biochemical Research Methods

The BAD project: data mining, database and prediction of protein adsorption on surfaces

Elena N. Vasina et al.

LAB ON A CHIP (2009)

Review Dentistry, Oral Surgery & Medicine

A literature review on biomaterials in sinus augmentation procedures

Hilde Browaeys et al.

CLINICAL IMPLANT DENTISTRY AND RELATED RESEARCH (2007)

Article Biochemistry & Molecular Biology

The Unified Medical Language System (UMLS): integrating biomedical terminology

O Bodenreider

NUCLEIC ACIDS RESEARCH (2004)