AIMC Topic: Nucleotides

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Boosting Granular Support Vector Machines for the Accurate Prediction of Protein-Nucleotide Binding Sites.

Combinatorial chemistry & high throughput screening Jan 1, 2019
AIM AND OBJECTIVE: The accurate identification of protein-ligand binding sites helps elucidate protein function and facilitate the design of new drugs. Machine-learning-based methods have been widely used for the prediction of protein-ligand binding ...
Support Vector Machine Proteins Nucleotides High-Throughput Screening Assays Binding Sites
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Chiron: translating nanopore raw signal directly into nucleotide sequence using deep learning.

GigaScience May 1, 2018
Sequencing by translocating DNA fragments through an array of nanopores is a rapidly maturing technology that offers faster and cheaper sequencing than other approaches. However, accurately deciphering the DNA sequence from the noisy and complex elec...
Neural Networks, Computer Machine Learning Software Reproducibility of Results Escherichia coli Sequence Analysis, DNA Signal Processing, Computer-Assisted Nucleotides Mycobacterium tuberculosis Probability Base Sequence Base Pairing Nanopores
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[Determination of Nucleosides and Nucleobases in Natural, Cultured and Tissue Culture Anoectochilus roxburghii Using LC-MS].

Zhong yao cai = Zhongyaocai = Journal of Chinese medicinal materials Nov 1, 2015
OBJECTIVE: To establish a method for simultaneous determination of nucleosides and nucleobases in natural, cultured and tissue culture Anoectochilus roxburghii by high performance liquid chromatography-electrospray ionization/ion trap mass spectromet...
Mass Spectrometry Chromatography, Liquid Drugs, Chinese Herbal Nucleosides Nucleotides Uracil Uridine Adenine Adenosine Guanosine Hypoxanthine Orchidaceae
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Constructing query-driven dynamic machine learning model with application to protein-ligand binding sites prediction.

IEEE transactions on nanobioscience Jan 1, 2015
We are facing an era with annotated biological data rapidly and continuously generated. How to effectively incorporate new annotated data into the learning step is crucial for enhancing the performance of a bioinformatics prediction model. Although m...
Machine Learning Protein Binding Proteins Databases, Protein Models, Biological Nucleotides Ligands Binding Sites
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