Paper Info
Title
Molecules, Languages and Automata
Abstract
Molecular biology is full of linguistic metaphors, from the language of DNA to the genome as “book of life.” Certainly the organization of genes and other functional modules along the DNA sequence invites a syntactic view, which can be seen in certain tools used in bioinformatics such as hidden Markov models. It has also been shown that folding of RNA structures is neatly expressed by grammars that require expressive power beyond context-free, an approach that has even been extended to the much more complex structures of proteins. Processive enzymes and other “molecular machines” can also be cast in terms of automata. This paper briefly reviews linguistic approaches to molecular biology, and provides perspectives on potential future applications of grammars and automata in this field.
Year
DOI
Venue
2010
10.1007/978-3-642-15488-1_2
International Colloquium on Grammatical Inference
Keywords
Field
DocType
rna structure,complex structure,dna sequence,linguistic metaphor,linguistic approach,molecular machine,expressive power,certain tool,molecular biology,processive enzyme,enzyme,hidden markov model
Genome,Molecular machine,Rule-based machine translation,Computer science,Automaton,Artificial intelligence,Hidden Markov model,Expressive power,Syntax,Machine learning
Conference
Volume
ISSN
ISBN
6339
0302-9743
3-642-15487-5
Citations 
PageRank 
References 
3
0.42
2
Authors
1
Name
Order
Citations
PageRank
David B. Searls1314171.53