Application of artificial intelligence for detection of chemico-biological interactions associated with oxidative stress and DNA damage
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Application of artificial intelligence for detection of chemico-biological interactions associated with oxidative stress and DNA damage
Authors
Keywords
Reactive oxygen species, Radiation, Machine learning, Non-coding DNA, Aging
Journal
CHEMICO-BIOLOGICAL INTERACTIONS
Volume 345, Issue -, Pages 109533
Publisher
Elsevier BV
Online
2021-05-27
DOI
10.1016/j.cbi.2021.109533
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Artificial Intelligence in Drug Discovery: A Comprehensive Review of Data-driven and Machine Learning Approaches
- (2021) Hyunho Kim et al. BIOTECHNOLOGY AND BIOPROCESS ENGINEERING
- Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings
- (2021) Mohanad Alkhodari et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- The Relevance of Noncoding DNA Variations of Paraoxonase Gene Cluster in Atherosclerosis-Related Diseases
- (2021) Anna Wysocka et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Oxidative stress-induced DNA damage and repair in primary human osteoarthritis chondrocytes: focus on IKKα and the DNA Mismatch Repair System
- (2021) Simona Neri et al. FREE RADICAL BIOLOGY AND MEDICINE
- Neuron type classification in rat brain based on integrative convolutional and tree-based recurrent neural networks
- (2021) Tielin Zhang et al. Scientific Reports
- Evaluation of machine learning models for automatic detection of DNA double strand breaks after irradiation using a γH2AX foci assay
- (2020) Tim Hohmann et al. PLoS One
- Machine learning approaches to drug response prediction: challenges and recent progress
- (2020) George Adam et al. npj Precision Oncology
- Artificial intelligence and machine learning in orthopedic surgery: a systematic review protocol
- (2020) Nicola Maffulli et al. Journal of Orthopaedic Surgery and Research
- Machine Learning Model for Identifying Antioxidant Proteins Using Features Calculated from Primary Sequences
- (2020) Luu Ho Thanh Lam et al. Biology-Basel
- Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes
- (2020) Lena Davidson et al. BRIEFINGS IN BIOINFORMATICS
- Inflammation response, oxidative stress and DNA damage caused by urban air pollution exposure increase in the lack of DNA repair XPC protein
- (2020) Nilmara de Oliveira Alves et al. ENVIRONMENT INTERNATIONAL
- Long non-coding RNA nuclear paraspeckle assembly transcript 1 protects human lens epithelial cells against H2O2 stimuli through the nuclear factor kappa b/p65 and p38/mitogen-activated protein kinase axis
- (2020) Tianqiu Zhou et al. Annals of Translational Medicine
- WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j
- (2019) Steven Lang et al. KNOWLEDGE-BASED SYSTEMS
- The Use of Single-Cell Comet Assay on Oral Cells: A Critical Review
- (2019) ANA CAROLINA FLYGARE SOUZA et al. ANTICANCER RESEARCH
- Prediction of antioxidant proteins by incorporating statistical moments based features into Chou's PseAAC
- (2019) Ahmad Hassan Butt et al. JOURNAL OF THEORETICAL BIOLOGY
- The protective function of non-coding DNA in DNA damage accumulation with age and its roles in age-related diseases
- (2019) Guo-Hua Qiu et al. BIOGERONTOLOGY
- MLH1 deficiency leads to deregulated mitochondrial metabolism
- (2019) Sukaina Rashid et al. Cell Death & Disease
- Label-free surface-enhanced Raman spectroscopy with artificial neural network technique for recognition photoinduced DNA damage
- (2019) O. Guselnikova et al. BIOSENSORS & BIOELECTRONICS
- Classification of DNA damages on segmented comet assay images using convolutional neural network
- (2019) Ümit Atila et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences
- (2018) Zhen Chen et al. BIOINFORMATICS
- SeqSVM: A Sequence-Based Support Vector Machine Method for Identifying Antioxidant Proteins
- (2018) Lei Xu et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Prediction and characterization of human ageing-related proteins by using machine learning
- (2018) Csaba Kerepesi et al. Scientific Reports
- Ionizing Radiation-Induced Cellular Senescence in Normal, Non-transformed Cells and the Involved DNA Damage Response: A Mini Review
- (2018) Mengqian Li et al. Frontiers in Pharmacology
- Postnatal Developmental Changes in Fractal Complexity of Giemsa-Stained Chromatin in Mice Spleen Follicular Cells
- (2017) Igor Pantic et al. MICROSCOPY AND MICROANALYSIS
- AOD: the antioxidant protein database
- (2017) Pengmian Feng et al. Scientific Reports
- Age-related reduction of chromatin fractal dimension in toluidine blue – stained hepatocytes
- (2016) Igor Pantic et al. MECHANISMS OF AGEING AND DEVELOPMENT
- A novel features ranking metric with application to scalable visual and bioinformatics data classification
- (2016) Quan Zou et al. NEUROCOMPUTING
- DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences
- (2016) Daniel Quang et al. NUCLEIC ACIDS RESEARCH
- Wavelet transform analysis of chromatin texture changes during heat shock
- (2015) G. HERBOMEL et al. JOURNAL OF MICROSCOPY
- Protection of the genome and central protein-coding sequences by non-coding DNA against DNA damage from radiation
- (2015) Guo-Hua Qiu MUTATION RESEARCH-REVIEWS IN MUTATION RESEARCH
- Integrative analysis of 111 reference human epigenomes
- (2015) Anshul Kundaje et al. NATURE
- A method to predict the impact of regulatory variants from DNA sequence
- (2015) Dongwon Lee et al. NATURE GENETICS
- Predicting effects of noncoding variants with deep learning–based sequence model
- (2015) Jian Zhou et al. NATURE METHODS
- Identifying Antioxidant Proteins by Using Optimal Dipeptide Compositions
- (2015) Pengmian Feng et al. Interdisciplinary Sciences-Computational Life Sciences
- Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features
- (2014) Mahmoud Ghandi et al. PLoS Computational Biology
- Identification of Antioxidants from Sequence Information Using Naïve Bayes
- (2013) Peng-Mian Feng et al. Computational and Mathematical Methods in Medicine
- iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition
- (2013) Wei Chen et al. NUCLEIC ACIDS RESEARCH
- Prediction of replication origins by calculating DNA structural properties
- (2012) Wei Chen et al. FEBS LETTERS
- Identification of mycobacterial membrane proteins and their types using over-represented tripeptide compositions
- (2012) Chen Ding et al. Journal of Proteomics
- Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates
- (2012) Gregory Hannum et al. MOLECULAR CELL
- Exploiting three kinds of interface propensities to identify protein binding sites
- (2009) Bin Liu et al. COMPUTATIONAL BIOLOGY AND CHEMISTRY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now