Machine learning can be used to distinguish protein families and generate new proteins belonging to those families. [electronic resource]

By:

Jin, Chi

Contributor(s):

Cukier, Robert I

Producer: 20191126Description: 175102 p. digitalISSN:

1089-7690

Subject(s):

Amino Acid Sequence
Machine Learning
Protein Conformation
Proteins -- chemistry

Online resources:

Available from publisher's website

In: The Journal of chemical physics vol. 151

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Machine learning can be used to distinguish protein families and generate new proteins belonging to those families.

APA

Jin C., Cukier R. I., . (20191126). Machine learning can be used to distinguish protein families and generate new proteins belonging to those families. : The Journal of chemical physics.

Chicago

Jin Chi, Cukier Robert I, . 20191126. Machine learning can be used to distinguish protein families and generate new proteins belonging to those families. : The Journal of chemical physics.

Harvard

Jin C., Cukier R. I., . (20191126). Machine learning can be used to distinguish protein families and generate new proteins belonging to those families. : The Journal of chemical physics.

MLA

Jin Chi, Cukier Robert I, . Machine learning can be used to distinguish protein families and generate new proteins belonging to those families. : The Journal of chemical physics. 20191126.

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