Impact of high-throughput screening in biomedical research. - Wikidata - awgldk - TriplyDB

Impact of high-throughput screening in biomedical research.

Impact of high-throughput screening in biomedical research.

http://www.wikidata.org/entity/Q45352809

about

Protein-Directed Dynamic Combinatorial Chemistry: A Guide to Protein Ligand and Inhibitor Discovery At the Crossroads of Nanotoxicology in vitro: Past Achievements and Current Challenges Systems pharmacology: network analysis to identify multiscale mechanisms of drug action Trends in protein-based biosensor assemblies for drug screening and pharmaceutical kinetic studies The French National Compound Library: advances and future prospects Inhibition of microglia activation as a phenotypic assay in early drug discovery Big data in chemical toxicity research: the use of high-throughput screening assays to identify potential toxicants G-protein-coupled receptors targeting: the allosteric approach Floating Droplet Array: An Ultrahigh-Throughput Device for Droplet Trapping, Real-time Analysis and Recovery.A rapid and affordable screening platform for membrane protein trafficking.Engineering a Brain Cancer Chip for High-throughput Drug Screening Experimental and computational active site mapping as a starting point to fragment-based lead discovery Antimalarial drug discovery - approaches and progress towards new medicines.DRABAL: novel method to mine large high-throughput screening assays using Bayesian active learning New target prediction and visualization tools incorporating open source molecular fingerprints for TB Mobile 2.0 Review: basics of drug development in rheumatology Current versus future reproduction and longevity: a re-evaluation of predictions and mechanisms IspE inhibitors identified by a combination of in silico and in vitro high-throughput screening Enhancing hit identification in Mycobacterium tuberculosis drug discovery using validated dual-event Bayesian models Human genetics in rheumatoid arthritis guides a high-throughput drug screen of the CD40 signaling pathway Integration of Microfractionation, qNMR and zebrafish screening for the in vivo bioassay-guided isolation and quantitative bioactivity analysis of natural products Tracking 20 years of compound-to-target output from literature and patents Identification of novel compounds inhibiting chikungunya virus-induced cell death by high throughput screening of a kinase inhibitor library Looking back to the future: predicting in vivo efficacy of small molecules versus Mycobacterium tuberculosis End-to-end automated microfluidic platform for synthetic biology: from design to functional analysis TB Mobile: a mobile app for anti-tuberculosis molecules with known targets Beyond small-molecule SAR: using the dopamine D3 receptor crystal structure to guide drug design Estimating Potency in High-Throughput Screening Experiments by Maximizing the Rate of Change in Weighted Shannon Entropy Current approaches for the discovery of drugs that deter substance and drug abuse.Natural products as sources of new drugs over the 30 years from 1981 to 2010 Lead discovery and in silico 3D structure modeling of tumorigenic FAM72A (p17).Enhancing reproducibility in cancer drug screening: how do we move forward?Fusing dual-event data sets for Mycobacterium tuberculosis machine learning models and their evaluation.Challenges in secondary analysis of high throughput screening data Mining Natural-Products Screening Data for Target-Class Chemical Motifs.Are bigger data sets better for machine learning? Fusing single-point and dual-event dose response data for Mycobacterium tuberculosis Quantification of frequent-hitter behavior based on historical high-throughput screening data.Using the BioAssay Ontology for analyzing high-throughput screening data.Data-driven approaches used for compound library design, hit triage and bioactivity modeling in high-throughput screening.Whole genome sequencing identifies missense mutation in MTBP in Shar-Pei affected with Autoinflammatory Disease (SPAID)

P2860

Q26738763-42A59D57-92AE-4933-9E30-F217EB5E5B50 Q26796677-BA339657-6B63-4CF3-A268-CF0323D74678 Q26824166-B772CEAF-B812-4DF4-BA8A-FE82176062D6 Q26859238-0490B016-325E-437D-AEDB-98D0902A141A Q26864840-43D5C402-CC5C-454B-B330-E23FA1B2062E Q26996061-8AD85E36-1EFE-48E3-8F05-79FA40054367 Q27008504-D2507F52-83EF-49E7-BB94-2F281A23CF4D Q27023311-8689CCC5-763A-4B21-8F26-8F31061E343C Q27303576-E99227C5-FF85-4872-B457-D5D1C76D6A47 Q27305088-9F262F13-F1EA-4F0D-837B-0A887592F38B Q27318558-EA51ECFD-12B9-4740-9270-50BB5E599606 Q27676521-81B0E8E0-467F-4CFC-A9F5-45475074135A Q27693245-60E2C9DB-F4D5-42D0-B392-8CC3E99BD63F Q27902260-0ABEFD1E-B144-4C10-A85F-7027CD84EF22 Q27902272-3BC72B1C-25BB-48F9-960A-7CFCF494D3C1 Q28083593-38948980-590C-4F30-AA86-BBE044CC73FD Q28393133-ECE40EEC-7327-4C3C-B66E-0869969152DF Q28483059-60B4AC41-C54B-4206-A849-40CD6763D773 Q28487748-6574E002-399E-447C-BD7D-8287BA20CDCE Q28488150-5DBBB233-8792-44D3-84C4-589F9A999A5F Q28488352-EFA72579-A1A3-4D56-8B94-835A1B3883C8 Q28534695-776E9EA2-9274-4C4E-9340-0D4005FD2CF7 Q28534763-030F4DC6-23A4-445B-94AA-02915D68A7C3 Q28538272-65DEA376-1C3D-42FA-B634-4A5AB98689ED Q28601604-DB71295E-2C2F-434F-A29C-5A8DABC504E6 Q28709353-CB36837E-1CB6-468F-B1DE-76BFBFC5F8AF Q28828620-49982970-4E07-4B90-93F5-EC1187047154 Q28830270-6D64A9DF-A3F6-42E1-A829-E912D128F8B0 Q28973615-620F3F42-136A-4B46-995A-42AA5A7A83D6 Q29616640-2E8CEC43-DC82-4675-B8BA-82E198716F26 Q30366970-9280AA19-61D2-476F-93E5-A4D031235946 Q30405622-B63F5386-F3AB-4B1E-BDF8-64CBC49614BA Q30681280-B668D406-5648-459C-B471-03F19DE00002 Q30705788-3B812127-0DA4-4237-8F49-79C396ED07ED Q30755326-A6D0171F-2C8E-43C4-8238-4ABD07C2A853 Q30833510-8D5F8AB1-FF06-4171-A670-8E6E9CD2A398 Q30839726-712AC646-4FB8-48CF-B472-A7AD428908CE Q30878704-A03D8203-BE43-4FAA-A045-78D83921EBD6 Q31139520-1C86D7CD-63B8-48DA-8FAB-40DA542FE875 Q33640755-6887887B-0161-40C5-8A95-199CB14070BC

P2860

Impact of high-throughput screening in biomedical research.

http://www.wikidata.org/entity/Q45352809

description

2011 nî lūn-bûn

@nan

2011年の論文

@ja

2011年学术文章

@wuu

2011年学术文章

@zh

2011年学术文章

@zh-cn

2011年学术文章

@zh-hans

2011年学术文章

@zh-my

2011年学术文章

@zh-sg

2011年學術文章

@yue

2011年學術文章

@zh-hant

name

Impact of high-throughput screening in biomedical research.

@en

Impact of high-throughput screening in biomedical research.

@nl

type

label

Impact of high-throughput screening in biomedical research.

@en

Impact of high-throughput screening in biomedical research.

@nl

prefLabel

Impact of high-throughput screening in biomedical research.

@en

Impact of high-throughput screening in biomedical research.

@nl

P1433

Q45352809-2F53174A-818D-4F49-A043-326F08183F8E

P1476

Q45352809-FF1DDA14-3FCE-46F9-93DC-4262C1029A02

P2093

Q45352809-37FAD73E-4C09-4366-A37B-CE6CE6F4E2E7

Q45352809-3DB53366-E968-4C8D-8B9A-0AB20260B970

Q45352809-4168AA40-B45D-4C5D-8569-6F0777AE2024

Q45352809-60296BBD-663A-4587-B848-5943E37DEE91

Q45352809-6F184C75-3C9E-4936-9FE3-20CE3AE4B455

Q45352809-71F50315-6665-49B2-8EEE-971A10DC9381

Q45352809-83BF59B3-07CF-432D-95CE-8609EC00A266

Q45352809-861F313C-0C2B-45EA-87FE-7601216F7122

Q45352809-AB0D6DB9-DAE1-4EDF-8DA2-CCC959C08E5C

Q45352809-C4FCD88F-1B57-4094-89BF-0726F6438F39

P2860

Q45352809-0898F454-926D-4CE0-9487-5F85FD4C5350

Q45352809-16F61CCE-A36E-4F60-B4AE-CACC83C62859

Q45352809-1957661B-9A8E-41C2-A3DD-762A7EBAA318

Q45352809-1E676750-8678-4EAE-BE65-93A6DB110AC7

Q45352809-20A8DCE9-E404-44B1-B764-EFB9840CEF09

Q45352809-211501D2-CF32-452C-907B-2F88B7AC5650

Q45352809-26737AC1-EA5E-4370-94C9-68B49E3E4E20

Q45352809-28C72726-54B4-4863-9E17-F4CA4BBEA878

Q45352809-299D2AF5-8214-4E75-AA44-0F15E5D1B7FE

Q45352809-29EDB55F-45A6-4727-9663-9ACE2CDEA417

P2888

Q45352809-56C6F336-F4A3-46A0-9E0C-4EA1DEF4A617

P304

Q45352809-77916F33-FEA8-4CCA-B03C-81A0A0294DC7

P31

Q45352809-2D32BB9C-3F6D-46DA-BCED-FC8D1DA2D0EE

P356

Q45352809-1A399425-B7A3-46CD-83A6-67A0A80EF18C

P433

Q45352809-0ECF87DB-CEC7-4B0B-B915-45A522F255C4

P478

Q45352809-89CC832F-48F8-43B9-AE1B-6AA654AEC381

P50

Q45352809-B2AF9F0C-E502-40BD-8C96-000E351F6101

P577

Q45352809-2BDB2AA7-78AA-40EA-B8FE-442CFFE18306

P5875

Q45352809-F08F36D5-8EBC-4610-938E-4B48967B451F

P6179

Q45352809-56B0CBDE-E192-485C-824E-79FD2938EC3D

P698

Q45352809-85E577AC-6130-4B04-9845-DCF2205150C0

P356

P1433

Nature Reviews Drug Discovery

P1476

Impact of high-throughput screening in biomedical research.

@en

P2093

Darren V S Green

http://www.w3.org/2001/XMLSchema#string

David J Burns

http://www.w3.org/2001/XMLSchema#string

Dejan Bojanic

http://www.w3.org/2001/XMLSchema#string

G Sitta Sittampalam

http://www.w3.org/2001/XMLSchema#string

Jeff W Paslay

http://www.w3.org/2001/XMLSchema#string

Martyn N Banks

http://www.w3.org/2001/XMLSchema#string

Ricardo Macarron

http://www.w3.org/2001/XMLSchema#string

Robert P Hertzberg

http://www.w3.org/2001/XMLSchema#string

Tina Garyantes

http://www.w3.org/2001/XMLSchema#string

Ulrich Schopfer

http://www.w3.org/2001/XMLSchema#string

P2860

Drug discovery in jeopardy

Identification of Hepatitis C Virus NS5A Inhibitors

A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assays

Hit and lead generation: beyond high-throughput screening

Do structurally similar molecules have similar biological activity?

Virtual exploration of the chemical universe up to 11 atoms of C, N, O, F: assembly of 26.4 million structures (110.9 million stereoisomers) and analysis for new ring systems, stereochemistry, physicochemical properties, compound classes, and drug d

Drug repositioning: identifying and developing new uses for existing drugs

Can the pharmaceutical industry reduce attrition rates?

Pursuing the leadlikeness concept in pharmaceutical research.

Fluorescence techniques: shedding light on ligand-receptor interactions.

P2888

P304

188-195

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1038/NRD3368

http://www.w3.org/2001/XMLSchema#string

P433

3

http://www.w3.org/2001/XMLSchema#string

P478

10

http://www.w3.org/2001/XMLSchema#string

P50

Dragan A. Cirovic

P577

2011-03-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

50227800

http://www.w3.org/2001/XMLSchema#string

P6179

1041527430

http://www.w3.org/2001/XMLSchema#string

P698

21358738

http://www.w3.org/2001/XMLSchema#string