scholarly journals The Galapagos Chip Platform for High‐Throughput Screening of Cell Adhesive Chemical Micropatterns

Small ◽  
2022 ◽  
pp. 2105704
Author(s):  
Urandelger Tuvshindorj ◽  
Vanessa Trouillet ◽  
Aliaksei Vasilevich ◽  
Britta Koch ◽  
Steven Vermeulen ◽  
...  
Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
L Hingorani ◽  
NP Seeram ◽  
B Ebersole

Planta Medica ◽  
2015 ◽  
Vol 81 (16) ◽  
Author(s):  
K Georgousaki ◽  
N DePedro ◽  
AM Chinchilla ◽  
N Aliagiannis ◽  
F Vicente ◽  
...  

Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381
Author(s):  
LS Espindola ◽  
RG Dusi ◽  
KR Gustafson ◽  
J McMahon ◽  
JA Beutler

2014 ◽  
Author(s):  
Clair Cochrane ◽  
Halil Ruso ◽  
Anthony Hope ◽  
Rosemary G Clarke ◽  
Christopher Barratt ◽  
...  

2020 ◽  
Author(s):  
Jia Shen Chew ◽  
Ken Chi Lik Lee ◽  
THI THANH NHA HO

<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>


2019 ◽  
Author(s):  
Seoin Back ◽  
Junwoong Yoon ◽  
Nianhan Tian ◽  
Wen Zhong ◽  
Kevin Tran ◽  
...  

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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