Catalysis Gene Expression Profiling: Sequencing and Designing Catalysts
Abstract
Identification of catalysts is a difficult matter as catalytic activities involve a vast number of complex features that each catalyst possesses. Here, catalysis gene expression profiling is proposed from unique features discovered in catalyst data collected by high-throughput experiments as an alternative way of representing the catalysts. Combining constructed catalyst gene sequences with hierarchical clustering results in catalyst gene expression profiling where natural language processing is used to identify similar catalysts based on edit distance. In addition…..
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Article Information
Keisuke Takahashi, Jun Fujima, Itsuki Miyazato, Sunao Nakanowatari, Aya Fujiwara, Thanh Nhat Nguyen, Toshiaki Taniike, and Lauren Takahashi
Catalysis Gene Expression Profiling: Sequencing and Designing Catalysts
The Journal of Physical Chemistry Letters 0, 12
DOI: 10.1021/acs.jpclett.1c02111
