A novel chiral terpyridine macrocycle as a fluorescent sensor for enantioselective recognition of amino acid derivativesElectronic supplementary information (ESI) available: plots for estimation of binding constants for tpy macrocycle 1 with (R)-PhEtOMe. See http://www.rsc.org/suppdata/cc/b3/b313960c/

2004 ◽  
pp. 384 ◽  
Author(s):  
Wing-Leung Wong ◽  
Ka-Hung Huang ◽  
Pang-Fei Teng ◽  
Chi-Sing Lee ◽  
Hoi-Lun Kwong
Keyword(s):  
Amino Acid ◽  
Fluorescent Sensor ◽  
Binding Constants ◽  
Supplementary Information ◽  
Enantioselective Recognition

A Novel Chiral Terpyridine Macrocycle (I) as a Fluorescent Sensor for Enantioselective Recognition of Amino Acid Derivatives.

ChemInform ◽  
2004 ◽  
Vol 35 (27) ◽  
Author(s):  
Wing-Leung Wong ◽  
Ka-Hung Huang ◽  
Pang-Fei Teng ◽  
Chi-Sing Lee ◽  
Hoi-Lun Kwong
Keyword(s):  
Amino Acid ◽  
Fluorescent Sensor ◽  
Amino Acid Derivatives ◽  
Enantioselective Recognition

scholarly journals Enantioselective Recognition of Chiral Carboxylic Acids by a β-Amino Acid and 1,10-Phenanthroline Based Chiral Fluorescent Sensor

Sensors ◽  
2015 ◽  
Vol 15 (5) ◽  
pp. 10723-10733 ◽  
Author(s):  
Yonghong Zhang ◽  
Fangzhi Hu ◽  
Bin Wang ◽  
Xiaomei Zhang ◽  
Chenjiang Liu
Keyword(s):  
Amino Acid ◽  
Carboxylic Acids ◽  
Fluorescent Sensor ◽  
Enantioselective Recognition

KEC: unique sequence search by K-mer exclusion

2021 ◽  
Author(s):  
Pavel Beran ◽  
Dagmar Stehlíková ◽  
Stephen P Cohen ◽  
Vladislav Čurn
Keyword(s):  
Amino Acid ◽  
Nucleic Acid ◽  
Source Code ◽  
Unique Sequence ◽  
Supplementary Information ◽  
Supplementary Data ◽  
Laptop Computers ◽  
Sequence Search ◽  
Target Sequences ◽  
Cross Reference

Abstract Summary Searching for amino acid or nucleic acid sequences unique to one organism may be challenging depending on size of the available datasets. K-mer elimination by cross-reference (KEC) allows users to quickly and easily find unique sequences by providing target and non-target sequences. Due to its speed, it can be used for datasets of genomic size and can be run on desktop or laptop computers with modest specifications. Availability and implementation KEC is freely available for non-commercial purposes. Source code and executable binary files compiled for Linux, Mac and Windows can be downloaded from https://github.com/berybox/KEC. Supplementary information Supplementary data are available at Bioinformatics online.

Enantioselective recognition of a fluorescence-labeled phenylalanine by self-assembled chiral nanostructures

2015 ◽  
Vol 51 (20) ◽  
pp. 4234-4236 ◽  
Author(s):  
Li Zhang ◽  
Qingxian Jin ◽  
Kai Lv ◽  
Long Qin ◽  
Minghua Liu
Keyword(s):  
Amino Acid ◽  
Enantioselective Recognition ◽  
Self Assembled ◽  
Chiral Nanostructures

Self-assembled chiral nanostructures formed by a pyridylpyrazole-conjugated l-glutamide showed enantioselectivity for a fluorescence labeled chiral amino acid.

scholarly journals DEEPrior: a deep learning tool for the prioritization of gene fusions

2020 ◽  
Vol 36 (10) ◽  
pp. 3248-3250
Author(s):  
Marta Lovino ◽  
Maria Serena Ciaburri ◽  
Gianvito Urgese ◽  
Santa Di Cataldo ◽  
Elisa Ficarra
Keyword(s):  
Deep Learning ◽  
Amino Acid ◽  
Gene Fusion ◽  
Supplementary Information ◽  
Gene Fusions ◽  
Supplementary Data ◽  
Learning Tool ◽  
Cancer Driver ◽  
Open Issue ◽  
Passenger Mutation

Abstract Summary In the last decade, increasing attention has been paid to the study of gene fusions. However, the problem of determining whether a gene fusion is a cancer driver or just a passenger mutation is still an open issue. Here we present DEEPrior, an inherently flexible deep learning tool with two modes (Inference and Retraining). Inference mode predicts the probability of a gene fusion being involved in an oncogenic process, by directly exploiting the amino acid sequence of the fused protein. Retraining mode allows to obtain a custom prediction model including new data provided by the user. Availability and implementation Both DEEPrior and the protein fusions dataset are freely available from GitHub at (https://github.com/bioinformatics-polito/DEEPrior). The tool was designed to operate in Python 3.7, with minimal additional libraries. Supplementary information Supplementary data are available at Bioinformatics online.

Enantioselective fluorescent sensor for dibenzoyl tartrate anion based on chiral binaphthyl derivatives bearing an amino acid unit

2007 ◽  
Vol 18 (15) ◽  
pp. 1769-1774 ◽  
Author(s):  
Haijuan Qin ◽  
Yongbing He ◽  
Chenguang Hu ◽  
Zhihong Chen ◽  
Ling Hu
Keyword(s):  
Amino Acid ◽  
Fluorescent Sensor ◽  
Tartrate Anion ◽  
Acid Unit

Homochiral molecular tweezers as hosts for the highly enantioselective recognition of amino acid derivatives

2003 ◽  
Vol 14 (23) ◽  
pp. 3651-3656 ◽  
Author(s):  
Can-Ping Du ◽  
Jing-Song You ◽  
Xiao-Qi Yu ◽  
Chang-Lu Liu ◽  
Jing-Bo Lan ◽  
...  
Keyword(s):  
Amino Acid ◽  
Amino Acid Derivatives ◽  
Molecular Tweezers ◽  
Enantioselective Recognition
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