ML helps predict enzyme turnover rates

Veda Sheersh Boorla; Vikas Upadhyay; Costas D. Maranas

doi:10.1038/s41929-022-00827-x

ML helps predict enzyme turnover rates

Veda Sheersh Boorla, Vikas Upadhyay, Costas D. Maranas

Research output: Contribution to journal › Comment/debate › peer-review

Original language	English (US)
Pages (from-to)	655-657
Number of pages	3
Journal	Nature Catalysis
Volume	5
Issue number	8
DOIs	https://doi.org/10.1038/s41929-022-00827-x
State	Published - Aug 2022

All Science Journal Classification (ASJC) codes

Catalysis
Bioengineering
Biochemistry
Process Chemistry and Technology

Access to Document

10.1038/s41929-022-00827-x

Cite this

@article{b6524c37100d45f082d5e2b4a213a8c6,

title = "ML helps predict enzyme turnover rates",

author = "Boorla, {Veda Sheersh} and Vikas Upadhyay and Maranas, {Costas D.}",

year = "2022",

month = aug,

doi = "10.1038/s41929-022-00827-x",

language = "English (US)",

volume = "5",

pages = "655--657",

journal = "Nature Catalysis",

issn = "2520-1158",

publisher = "Nature Publishing Group",

number = "8",

}

TY - JOUR

T1 - ML helps predict enzyme turnover rates

AU - Boorla, Veda Sheersh

AU - Upadhyay, Vikas

AU - Maranas, Costas D.

PY - 2022/8

Y1 - 2022/8

UR - http://www.scopus.com/inward/record.url?scp=85137003276&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85137003276&partnerID=8YFLogxK

U2 - 10.1038/s41929-022-00827-x

DO - 10.1038/s41929-022-00827-x

M3 - Comment/debate

AN - SCOPUS:85137003276

SN - 2520-1158

VL - 5

SP - 655

EP - 657

JO - Nature Catalysis

JF - Nature Catalysis

IS - 8

ER -

ML helps predict enzyme turnover rates

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Cite this