Cargando…

Fully automated antibody structure prediction using BIOVIA tools: Validation study

We describe the methodology and results from our validation study of the fully automated antibody structure prediction tool available in the BIOVIA (formerly Accelrys) protein modeling suite. Extending our previous study, we have validated the automated approach using a larger and more diverse data...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kemmish, Helen, Fasnacht, Marc, Yan, Lisa
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436848/ https://www.ncbi.nlm.nih.gov/pubmed/28542300 http://dx.doi.org/10.1371/journal.pone.0177923

Ejemplares similares

Automated antibody structure prediction using Accelrys tools: Results and best practices
por: Fasnacht, Marc, et al.
Publicado: (2014)

Fully automated web-based tool for identifying regulatory hotspots
por: Choi, Ju Hun, et al.
Publicado: (2020)

Continuous Automated Model EvaluatiOn (CAMEO)—Perspectives on the future of fully automated evaluation of structure prediction methods
por: Robin, Xavier, et al.
Publicado: (2021)

Fully automated protein complex prediction based on topological similarity and community structure
por: Lei, Chengwei, et al.
Publicado: (2013)

Evaluation of a fully automated bioinformatics tool to predict antibiotic resistance from MRSA genomes
por: Kumar, Narender, et al.
Publicado: (2020)

Evaluation of a Fully Automated Antinuclear Antibody Indirect Immunofluorescence Assay in Routine Use
por: Choi, Hyun-Woo, et al.
Publicado: (2020)

Validation of the F-POD—A fully automated cetacean monitoring system
por: Ivanchikova, Julia, et al.
Publicado: (2023)

Assessment of fully automated antibody homology modeling protocols in molecular operating environment
por: Maier, Johannes K X, et al.
Publicado: (2014)

Towards the fully automated monitoring of ecological communities
por: Besson, Marc, et al.
Publicado: (2022)

Validation of a Fully Automated HER2 Staining Kit in Breast Cancer
por: Moelans, Cathy B., et al.
Publicado: (2010)

PodoCount: A Robust, Fully Automated, Whole-Slide Podocyte Quantification Tool
por: Santo, Briana A., et al.
Publicado: (2022)

Fully automated dose prediction using generative adversarial networks in prostate cancer patients
por: Murakami, Yu, et al.
Publicado: (2020)

Fully integrated, fully automated generation of short tandem repeat profiles
por: Tan, Eugene, et al.
Publicado: (2013)

A fully automated pipeline for brain structure segmentation in multiple sclerosis
por: González-Villà, Sandra, et al.
Publicado: (2020)

Development of fully-automated synthesis systems
por: Sugawara, Tohru, et al.
Publicado: (1994)

Validation of a fully automated chemiluminescent immunoassay for cattle serum and plasma progesterone measurement
por: Megahed, Ameer A., et al.
Publicado: (2023)

Evaluation of an improved tool for non-invasive prediction of neonatal respiratory morbidity based on fully automated fetal lung ultrasound analysis
por: Burgos-Artizzu, Xavier P., et al.
Publicado: (2019)

Evaluation of Cross-Protocol Stability of a Fully Automated Brain Multi-Atlas Parcellation Tool
por: Liang, Zifei, et al.
Publicado: (2015)

Prediction of Amyloid Positivity in Mild Cognitive Impairment Using Fully Automated Brain Segmentation Software
por: Kang, Koung Mi, et al.
Publicado: (2020)

Clinical Validation of the Fully Automated NeuMoDx HPV Assay for Cervical Cancer Screening
por: Heideman, Daniëlle A. M., et al.
Publicado: (2022)

Fully and semi-automated shape differentiation in NGSolve
por: Gangl, Peter, et al.
Publicado: (2020)

Two Fully Automated Web-Based Interventions for Risky Alcohol Use: Randomized Controlled Trial
por: Tensil, Marc-Dennan, et al.
Publicado: (2013)

A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides
por: Kim, Young-Gon, et al.
Publicado: (2019)

Validation of a newly automated web-based 24-hour dietary recall using fully controlled feeding studies
por: Lafrenière, Jacynthe, et al.
Publicado: (2017)

Development and validation of a fully automated system using deep learning for opportunistic osteoporosis screening using low-dose computed tomography scans
por: Niu, Xinyi, et al.
Publicado: (2023)

Integrating and validating automated digital imaging analysis of estrogen receptor immunohistochemistry in a fully digital workflow for clinical use
por: Shafi, Saba, et al.
Publicado: (2022)

Fully automated breast segmentation on spiral breast computed tomography images
por: Shim, Sojin, et al.
Publicado: (2022)

Validation of a new fully automated software for 2D digital mammographic breast density evaluation in predicting breast cancer risk
por: Giorgi Rossi, Paolo, et al.
Publicado: (2021)

Fully Automated Lipid Pool Detection Using Near Infrared Spectroscopy
por: Pociask, Elżbieta, et al.
Publicado: (2016)

Fully Automated Breast Density Segmentation and Classification Using Deep Learning
por: Saffari, Nasibeh, et al.
Publicado: (2020)

Fully automated point spread function analysis using PyCalibrate
por: Metz, Jeremy, et al.
Publicado: (2023)

Fully automated annotation of mitochondrial genomes using a cluster-based approach with de Bruijn graphs
por: Fiedler, Lisa, et al.
Publicado: (2023)

Fully automated preoperative segmentation of temporal bone structures from clinical CT scans
por: Neves, C. A., et al.
Publicado: (2021)

Validation of Fully Automated VMAT Plan Generation for Library-Based Plan-of-the-Day Cervical Cancer Radiotherapy
por: Sharfo, Abdul Wahab M., et al.
Publicado: (2016)

Deep learning for the fully automated segmentation of the inner ear on MRI
por: Vaidyanathan, Akshayaa, et al.
Publicado: (2021)

VMXi: a fully automated, fully remote, high-flux in situ macromolecular crystallography beamline
por: Sanchez-Weatherby, Juan, et al.
Publicado: (2019)

Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning
por: Shahzad, Rahil, et al.
Publicado: (2020)

Accurate, Fully-Automated NMR Spectral Profiling for Metabolomics
por: Ravanbakhsh, Siamak, et al.
Publicado: (2015)

PLIP: fully automated protein–ligand interaction profiler
por: Salentin, Sebastian, et al.
Publicado: (2015)

Fully automated beamline control system for XAS beamlines
por: Mangold, Stefan
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_kbth78obhjph2nvelni0nja7ga