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...

Exploring the Chemical Space of Urease Inhibitors to Extract Meaningful Trends and Drivers of Activity

Journal of chemical information and modeling, 2022-08, Vol.62 (15), p.3535-3550

2022

Volltextzugriff (PDF)

Applying synergy metrics to combination screening data: agreements, disagreements and pitfalls

Drug discovery today, 2019-12, Vol.24 (12), p.2286-2298

2019

Volltextzugriff (PDF)

Revisiting Proteasome Inhibitors: Molecular Underpinnings of Their Development, Mechanisms of Resistance and Strategies to Overcome Anti-Cancer Drug Resistance

Molecules (Basel, Switzerland), 2022-03, Vol.27 (7), p.2201

2022

Volltextzugriff (PDF)

Using Machine Learning and Molecular Docking to Leverage Urease Inhibition Data for Virtual Screening

International journal of molecular sciences, 2023-05, Vol.24 (9), p.8180

2023

Volltextzugriff (PDF)

Harnessing Protein-Ligand Interaction Fingerprints to Predict New Scaffolds of RIPK1 Inhibitors

Molecules (Basel, Switzerland), 2022-07, Vol.27 (15), p.4718

2022

Volltextzugriff (PDF)

Exploring EZH2-Proteasome Dual-Targeting Drug Discovery through a Computational Strategy to Fight Multiple Myeloma

Molecules (Basel, Switzerland), 2021-09, Vol.26 (18), p.5574

2021

Volltextzugriff (PDF)

Chemical Patterns of Proteasome Inhibitors: Lessons Learned from Two Decades of Drug Design

International journal of molecular sciences, 2019-10, Vol.20 (21), p.5326

2019

Volltextzugriff (PDF)

A novel applicability domain technique for mapping predictive reliability across the chemical space of a QSAR: reliability-density neighbourhood

Journal of cheminformatics, 2016-12, Vol.8 (1), p.1, Article 69

2016

Volltextzugriff (PDF)

An In Silico and an In Vitro Inhibition Analysis of Glycogen Phosphorylase by Flavonoids, Styrylchromones, and Pyrazoles

Nutrients, 2022-01, Vol.14 (2), p.306

2022

Volltextzugriff (PDF)

Pyrazoles as novel protein tyrosine phosphatase 1B (PTP1B) inhibitors: An in vitro and in silico study

International journal of biological macromolecules, 2021-06, Vol.181, p.1171-1182

2021

Volltextzugriff (PDF)

Simultaneous Prediction of four ATP-binding Cassette Transporters' Substrates Using Multi-label QSAR

Molecular informatics, 2016-10, Vol.35 (10), p.514-528

2016

Volltextzugriff (PDF)

Population Approach to Efavirenz Therapy

Journal of pharmaceutical sciences, 2017-10, Vol.106 (10), p.3161-3166

2017

Volltextzugriff (PDF)

Phenotypic high-throughput screening platform identifies novel chemotypes for necroptosis inhibition

Cell death discovery, 2020-02, Vol.6 (1), p.6, Article 6

2020

Volltextzugriff (PDF)

The antitumor effects of an arsthinol–cyclodextrin complex in a heterotopic mouse model of glioma

European journal of pharmaceutics and biopharmaceutics, 2013-11, Vol.85 (3), p.560-568

2013

Volltextzugriff (PDF)

Substrate-specific effects of pirinixic acid derivatives on ABCB1-mediated drug transport

Oncotarget, 2016-03, Vol.7 (10), p.11664-11676

2016

Volltextzugriff (PDF)

Prediction of Drug Distribution in Rat and Humans Using an Artificial Neural Networks Ensemble and a PBPK Model

Pharmaceutical research, 2014-12, Vol.31 (12), p.3313-3322

2014

Volltextzugriff (PDF)

Tissue-to-blood distribution coefficients in the rat: Utility for estimation of the volume of distribution in man

European journal of pharmaceutical sciences, 2013-11, Vol.50 (3-4), p.526-543

2013

Volltextzugriff (PDF)

Conformal Regression for Quantitative Structure–Activity Relationship ModelingQuantifying Prediction Uncertainty

Journal of chemical information and modeling, 2018-05, Vol.58 (5), p.1132-1140

2018

Volltextzugriff (PDF)

Phenotypic high-throughput screening platform identifies novel chemotypes for necroptosis inhibition

Cell death discovery, 2020-02, Vol.6 (1), p.6

2020

Volltextzugriff (PDF)

Machine Learning for Modelling Tissue Distribution of Drugs and the Impact of Transporters

de Moura Aniceto, Natália Luísa

2017

Volltextzugriff (PDF)

Applying drug synergy metrics to oncology combination screening data: agreements, disagreements and pitfalls

Drug discovery today, 2019-09

2019

Volltextzugriff (PDF)

Ibuprofen Nanoparticles for Oral Delivery: Proof of Concept

Journal of Nanomedicine & Biotherapeutic Discovery, 2014, Vol.4 (1)

V. Figueiredo, Catarina Pinto Reis

2014

Volltextzugriff (PDF)

Predicting Anticancer Synergistic Activity through Machine Learning and Natural Language Processing

Data Science, AI, and Machine Learning in Drug Development, 2023, p.95-120

1, 2023

Volltextzugriff (PDF)

Melanoma Prevention: Challenges and Progresses in Nanotechnology for Melanoma Prevention and Treatment

CRC Concise Encyclopedia of Nanotechnology, 2016, p.480-497

2016

Volltextzugriff (PDF)

Active chitosan/PVA films with anthocyanins from Brassica oleraceae (Red Cabbage) as Time–Temperature Indicators for application in intelligent food packaging

Food hydrocolloids, 2015-01, Vol.43, p.180-188

2015

Volltextzugriff (PDF)

1 – 25 von 37

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(28)
Mit Volltextzugriff
(33)

Publikationsform

Sprache

Erscheinungsjahr

n.n

Thema

Science & Technology
(25)
Life Sciences & Biomedicine
(20)
Physical Sciences
(15)
Chemistry
(14)
Chemistry, Multidisciplinary
(11)
Humans
(10)
Pharmacology & Pharmacy
(8)
Biochemistry & Molecular Biology
(6)
Qsar
(6)
Computer Science
(5)
Datasets
(5)
Inhibitors
(5)
Machine Learning
(5)
Molecular Docking Simulation
(5)
Technology
(5)
Algorithms
(4)
Cancer
(4)
Chemistry, Medicinal
(4)
Clinical Trials
(4)
Computer Science, Interdisciplinary Applications
(4)

15 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

Exploring the Chemical Space of Urease Inhibitors to Extract Meaningful Trends and Drivers of Activity

Applying synergy metrics to combination screening data: agreements, disagreements and pitfalls

Revisiting Proteasome Inhibitors: Molecular Underpinnings of Their Development, Mechanisms of Resistance and Strategies to Overcome Anti-Cancer Drug Resistance

Using Machine Learning and Molecular Docking to Leverage Urease Inhibition Data for Virtual Screening

Harnessing Protein-Ligand Interaction Fingerprints to Predict New Scaffolds of RIPK1 Inhibitors

Exploring EZH2-Proteasome Dual-Targeting Drug Discovery through a Computational Strategy to Fight Multiple Myeloma

Chemical Patterns of Proteasome Inhibitors: Lessons Learned from Two Decades of Drug Design

A novel applicability domain technique for mapping predictive reliability across the chemical space of a QSAR: reliability-density neighbourhood

An In Silico and an In Vitro Inhibition Analysis of Glycogen Phosphorylase by Flavonoids, Styrylchromones, and Pyrazoles

Pyrazoles as novel protein tyrosine phosphatase 1B (PTP1B) inhibitors: An in vitro and in silico study

Simultaneous Prediction of four ATP-binding Cassette Transporters' Substrates Using Multi-label QSAR

Population Approach to Efavirenz Therapy

Phenotypic high-throughput screening platform identifies novel chemotypes for necroptosis inhibition

The antitumor effects of an arsthinol–cyclodextrin complex in a heterotopic mouse model of glioma

Substrate-specific effects of pirinixic acid derivatives on ABCB1-mediated drug transport

Prediction of Drug Distribution in Rat and Humans Using an Artificial Neural Networks Ensemble and a PBPK Model

Tissue-to-blood distribution coefficients in the rat: Utility for estimation of the volume of distribution in man

Conformal Regression for Quantitative Structure–Activity Relationship ModelingQuantifying Prediction Uncertainty

Phenotypic high-throughput screening platform identifies novel chemotypes for necroptosis inhibition

Machine Learning for Modelling Tissue Distribution of Drugs and the Impact of Transporters

Applying drug synergy metrics to oncology combination screening data: agreements, disagreements and pitfalls

Ibuprofen Nanoparticles for Oral Delivery: Proof of Concept

Predicting Anticancer Synergistic Activity through Machine Learning and Natural Language Processing

Melanoma Prevention: Challenges and Progresses in Nanotechnology for Melanoma Prevention and Treatment

Active chitosan/PVA films with anthocyanins from Brassica oleraceae (Red Cabbage) as Time–Temperature Indicators for application in intelligent food packaging

Suchergebnisse filtern