- High-Throughput Screening in Medical Diagnosis and Prognosis

OMICS ◽  
2016 ◽  
pp. 164-193
Keyword(s):  
High Throughput ◽  
Medical Diagnosis ◽  
High Throughput Screening ◽  
Diagnosis And Prognosis

High-throughput screening program for botanical extracts

Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
L Hingorani ◽  
NP Seeram ◽  
B Ebersole
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Screening Program ◽  
Botanical Extracts

High throughput screening of microbial biodiversity for the discovery of novel cosmeceutical agents

Planta Medica ◽  
2015 ◽  
Vol 81 (16) ◽  
Author(s):  
K Georgousaki ◽  
N DePedro ◽  
AM Chinchilla ◽  
N Aliagiannis ◽  
F Vicente ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Microbial Biodiversity

High throughput screening to investigate Brazilian Cerrado biome plant extract bank chemical diversity

Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381
Author(s):  
LS Espindola ◽  
RG Dusi ◽  
KR Gustafson ◽  
J McMahon ◽  
JA Beutler
Keyword(s):  
High Throughput ◽  
Plant Extract ◽  
High Throughput Screening ◽  
Chemical Diversity ◽  
Brazilian Cerrado ◽  
Cerrado Biome

High-throughput screening revealed a clinically relevant drug to induce sperm motility

2014 ◽  
Author(s):  
Clair Cochrane ◽  
Halil Ruso ◽  
Anthony Hope ◽  
Rosemary G Clarke ◽  
Christopher Barratt ◽  
...  
Keyword(s):  
Sperm Motility ◽  
High Throughput ◽  
High Throughput Screening

Biocatalytic Ketone Reductions Using Biobeads

2020 ◽  
Author(s):  
Jia Shen Chew ◽  
Ken Chi Lik Lee ◽  
THI THANH NHA HO
Keyword(s):  
Enzyme Immobilization ◽  
High Throughput ◽  
High Throughput Screening ◽  
Chiral Hplc ◽  
Micro Scale

<p>Lee and coworkers offers a kind of new concept to enzyme immobilization and explores its suitability in the context of miniaturisation and high-throughput screening. Here, polystyrene-immobilized ketoreductases are compared with its non-immobilized counterparts in terms of conversion and stereoselectivity (both determined by chiral HPLC), and the study indicates that the BioBeads perform similarly (sometimes slightly more selective) which may be useful whenever defined micro-scale amounts of biocatalysts were required in high-throughput experiment settings.</p>

Convolutional Neural Network of Atomic Surface Structures to Predict Binding Energies for High-Throughput Screening of Catalysts

2019 ◽  
Author(s):  
Seoin Back ◽  
Junwoong Yoon ◽  
Nianhan Tian ◽  
Wen Zhong ◽  
Kevin Tran ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Convolutional Neural Network ◽  
High Throughput ◽  
High Throughput Screening ◽  
Binding Energies ◽  
Surface Structures ◽  
Voronoi Polyhedra ◽  
Atomic Surface

We present an application of deep-learning convolutional neural network of atomic surface structures using atomic and Voronoi polyhedra-based neighbor information to predict adsorbate binding energies for the application in catalysis.

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