UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Exploiting machine learning for end-to-end drug discovery and development

Nature materials, 2019-05, Vol.18 (5), p.435-441

2019

Volltextzugriff (PDF)

Predicting Nano–Bio Interactions by Integrating Nanoparticle Libraries and Quantitative Nanostructure Activity Relationship Modeling

ACS nano, 2017-12, Vol.11 (12), p.12641-12649

2017

Volltextzugriff (PDF)

Revealing Adverse Outcome Pathways from Public High-Throughput Screening Data to Evaluate New Toxicants by a Knowledge-Based Deep Neural Network Approach

Environmental science & technology, 2021-08, Vol.55 (15), p.10875-10887

2021

Volltextzugriff (PDF)

Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets

Molecular pharmaceutics, 2017-12, Vol.14 (12), p.4462-4475

2017

Volltextzugriff (PDF)

Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding Prediction

Molecular pharmaceutics, 2018-10, Vol.15 (10), p.4361-4370

2018

Volltextzugriff (PDF)

Mechanism-driven modeling of chemical hepatotoxicity using structural alerts and an in vitro screening assay

Journal of hazardous materials, 2022-08, Vol.436, p.129193-129193, Article 129193

2022

Volltextzugriff (PDF)

Virtual Molecular Projections and Convolutional Neural Networks for the End-to-End Modeling of Nanoparticle Activities and Properties

Analytical chemistry (Washington), 2020-10, Vol.92 (20), p.13971-13979

2020

Volltextzugriff (PDF)

Universal nanohydrophobicity predictions using virtual nanoparticle library

Journal of cheminformatics, 2019-01, Vol.11 (1), p.6-5, Article 6

2019

Volltextzugriff (PDF)

An Online Nanoinformatics Platform Empowering Computational Modeling of Nanomaterials by Nanostructure Annotations and Machine Learning Toolkits

Nano letters, 2024-08, Vol.24 (33), p.10228-10236

2024

Volltextzugriff (PDF)

Nonanimal Models for Acute Toxicity Evaluations: Applying Data-Driven Profiling and Read-Across

Environmental health perspectives, 2019-04, Vol.127 (4), p.47001

2019

Volltextzugriff (PDF)

Integrating structure annotation and machine learning approaches to develop graphene toxicity models

Carbon (New York), 2023-02, Vol.204, p.484-494

2023

Volltextzugriff (PDF)

Predictive modeling of estrogen receptor agonism, antagonism, and binding activities using machine- and deep-learning approaches

Laboratory investigation, 2021-04, Vol.101 (4), p.490-502

2021

Volltextzugriff (PDF)

Integrating Concentration-Dependent Toxicity Data and Toxicokinetics To Inform Hepatotoxicity Response Pathways

Environmental science & technology, 2023-08, Vol.57 (33), p.12291-12301

2023

Volltextzugriff (PDF)

Predicting Prenatal Developmental Toxicity Based On the Combination of Chemical Structures and Biological Data

Environmental science & technology, 2022-05, Vol.56 (9), p.5984-5998

2022

Volltextzugriff (PDF)

Mechanism-Driven Read-Across of Chemical Hepatotoxicants Based on Chemical Structures and Biological Data

Toxicological sciences, 2020-04, Vol.174 (2), p.178-188

2020

Volltextzugriff (PDF)

Prediction of Nano–Bio Interactions through Convolutional Neural Network Analysis of Nanostructure Images

ACS sustainable chemistry & engineering, 2020-12, Vol.8 (51), p.19096-19104

2020

Volltextzugriff (PDF)

The effect of race in head and neck cancer: A meta-analysis controlling for socioeconomic status

American journal of otolaryngology, 2020-11, Vol.41 (6), p.102624-102624, Article 102624

2020

Volltextzugriff (PDF)

Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets

Molecular pharmaceutics, 2019-04, Vol.16 (4), p.1620-1632

2019

Volltextzugriff (PDF)

Predictive Modeling of Angiotensin I‑Converting Enzyme Inhibitory Peptides Using Various Machine Learning Approaches

Journal of agricultural and food chemistry, 2020-10, Vol.68 (43), p.12132-12140

2020

Volltextzugriff (PDF)

Data-Driven Quantitative Structure–Activity Relationship Modeling for Human Carcinogenicity by Chronic Oral Exposure

Environmental science & technology, 2023-04, Vol.57 (16), p.6573-6588

2023

Volltextzugriff (PDF)

Analysis of Draize eye irritation testing and its prediction by mining publicly available 2008-2014 REACH data

ALTEX, alternatives to animal experimentation, 2016, Vol.33 (2), p.123-134

2016

Volltextzugriff (PDF)

Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug Discovery

Molecular pharmaceutics, 2018-10, Vol.15 (10), p.4346-4360

2018

Volltextzugriff (PDF)

Machine Learning Models for Estrogen Receptor Bioactivity and Endocrine Disruption Prediction

Environmental science & technology, 2020-10, Vol.54 (19), p.12202-12213

2020

Volltextzugriff (PDF)

Global analysis of publicly available safety data for 9,801 substances registered under REACH from 2008-2014

ALTEX, 2016, Vol.33 (2), p.95-109

2016

Volltextzugriff (PDF)

Analysis of publically available skin sensitization data from REACH registrations 2008-2014

ALTEX, alternatives to animal experimentation, 2016, Vol.33 (2), p.135-148

2016

Volltextzugriff (PDF)

1 – 25 von 310

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(272)
Mit Volltextzugriff
(257)

Publikationsform

Sprache

Englisch
(308)
Französisch
(1)

Erscheinungsjahr

n.n

Thema

Science & Technology
(218)
Life Sciences & Biomedicine
(161)
Humans
(106)
Male
(59)
Female
(58)
Middle Aged
(37)
Technology
(37)
Physical Sciences
(36)
Animals
(34)
Adult
(31)
Aged
(28)
Cardiovascular System & Cardiology
(27)
Cardiac & Cardiovascular Systems
(26)
Chemistry
(26)
Science & Technology - Other Topics
(23)
Biological And Medical Sciences
(18)
Computer Science
(17)
Medical Sciences
(17)
Oncology
(17)
Treatment Outcome
(17)

15 weitere anzeigen...

Weniger anzeigen...

Kollektion

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 30 Tagen
(1)
... seit 90 Tagen
(4)

Menü

Weitere Dienste

Einstellungen

Exploiting machine learning for end-to-end drug discovery and development

Predicting Nano–Bio Interactions by Integrating Nanoparticle Libraries and Quantitative Nanostructure Activity Relationship Modeling

Revealing Adverse Outcome Pathways from Public High-Throughput Screening Data to Evaluate New Toxicants by a Knowledge-Based Deep Neural Network Approach

Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets

Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding Prediction

Mechanism-driven modeling of chemical hepatotoxicity using structural alerts and an in vitro screening assay

Virtual Molecular Projections and Convolutional Neural Networks for the End-to-End Modeling of Nanoparticle Activities and Properties

Universal nanohydrophobicity predictions using virtual nanoparticle library

An Online Nanoinformatics Platform Empowering Computational Modeling of Nanomaterials by Nanostructure Annotations and Machine Learning Toolkits

Nonanimal Models for Acute Toxicity Evaluations: Applying Data-Driven Profiling and Read-Across

Integrating structure annotation and machine learning approaches to develop graphene toxicity models

Predictive modeling of estrogen receptor agonism, antagonism, and binding activities using machine- and deep-learning approaches

Integrating Concentration-Dependent Toxicity Data and Toxicokinetics To Inform Hepatotoxicity Response Pathways

Predicting Prenatal Developmental Toxicity Based On the Combination of Chemical Structures and Biological Data

Mechanism-Driven Read-Across of Chemical Hepatotoxicants Based on Chemical Structures and Biological Data

Prediction of Nano–Bio Interactions through Convolutional Neural Network Analysis of Nanostructure Images

The effect of race in head and neck cancer: A meta-analysis controlling for socioeconomic status

Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets

Predictive Modeling of Angiotensin I‑Converting Enzyme Inhibitory Peptides Using Various Machine Learning Approaches

Data-Driven Quantitative Structure–Activity Relationship Modeling for Human Carcinogenicity by Chronic Oral Exposure

Analysis of Draize eye irritation testing and its prediction by mining publicly available 2008-2014 REACH data

Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug Discovery

Machine Learning Models for Estrogen Receptor Bioactivity and Endocrine Disruption Prediction

Global analysis of publicly available safety data for 9,801 substances registered under REACH from 2008-2014

Analysis of publically available skin sensitization data from REACH registrations 2008-2014

Suchergebnisse filtern