Impact of ancestral sequence reconstruction on mechanistic and structural enzymology

Callum R Nicoll; Marta Massari; Marco W Fraaije; Maria Laura Mascotti; Andrea Mattevi

doi:10.1016/j.sbi.2023.102669

Impact of ancestral sequence reconstruction on mechanistic and structural enzymology

Callum R Nicoll, Marta Massari, Marco W Fraaije, Maria Laura Mascotti, Andrea Mattevi^*

^*Corresponding author for this work

Biotechnology

Research output: Contribution to journal › Review article › peer-review

12 Citations (Scopus)

225 Downloads (Pure)

Abstract

Ancestral sequence reconstruction (ASR) provides insight into the changes within a protein sequence across evolution. More specifically, it can illustrate how specific amino acid changes give rise to different phenotypes within a protein family. Over the last few decades it has established itself as a powerful technique for revealing molecular common denominators that govern enzyme function. Here, we describe the strength of ASR in unveiling catalytic mechanisms and emerging phenotypes for a range of different proteins, also highlighting biotechnological applications the methodology can provide.

Original language	English
Article number	102669
Number of pages	8
Journal	Current Opinion in Structural Biology
Volume	82
Early online date	4-Aug-2023
DOIs	https://doi.org/10.1016/j.sbi.2023.102669
Publication status	Published - Oct-2023

Access to Document

10.1016/j.sbi.2023.102669Licence: CC BY-NC-ND

Impact of ancestral sequence reconstruction on mechanistic and structural enzymologyFinal publisher's version, 1.4 MBLicence: CC BY-NC-ND

Handle.net

Persistent link

oLife Fellowship Programme
Roos, W. (PI), van der Tak, F. (PI), Zijlstra, W. (PI), Dobos, V. (Postdoc), Heinen, L. (Postdoc), Thangaratnarajah, C. (Postdoc), Hoekzema, M. (Postdoc), Blokhuis, A. (Postdoc), Mascotti, L. (Postdoc), Padin Santos, D. (Postdoc), Chopra, A. (Postdoc), Obermaier, S. (Postdoc), Driver, M. (Postdoc), Moreira Goulart, M. (Postdoc), Sasidharan, S. (Postdoc), Samar Mahapatra, S. (Postdoc), Zylstra, A. (Postdoc), Geiger, Y. (Postdoc), Llopis Lorente, A. (Postdoc), Aschmann, D. (Postdoc) & Kulala Vittala, S. (Postdoc)
01/04/2019 → 31/03/2024
Project: Research

Cite this

@article{f588c39d90044655a93badf6b05e42e5,

title = "Impact of ancestral sequence reconstruction on mechanistic and structural enzymology",

abstract = "Ancestral sequence reconstruction (ASR) provides insight into the changes within a protein sequence across evolution. More specifically, it can illustrate how specific amino acid changes give rise to different phenotypes within a protein family. Over the last few decades it has established itself as a powerful technique for revealing molecular common denominators that govern enzyme function. Here, we describe the strength of ASR in unveiling catalytic mechanisms and emerging phenotypes for a range of different proteins, also highlighting biotechnological applications the methodology can provide.",

author = "Nicoll, {Callum R} and Marta Massari and Fraaije, {Marco W} and Mascotti, {Maria Laura} and Andrea Mattevi",

year = "2023",

month = oct,

doi = "10.1016/j.sbi.2023.102669",

language = "English",

volume = "82",

journal = "Current Opinion in Structural Biology",

issn = "0959-440X",

publisher = "Elsevier",

}

TY - JOUR

T1 - Impact of ancestral sequence reconstruction on mechanistic and structural enzymology

AU - Nicoll, Callum R

AU - Massari, Marta

AU - Fraaije, Marco W

AU - Mascotti, Maria Laura

AU - Mattevi, Andrea

PY - 2023/10

Y1 - 2023/10

N2 - Ancestral sequence reconstruction (ASR) provides insight into the changes within a protein sequence across evolution. More specifically, it can illustrate how specific amino acid changes give rise to different phenotypes within a protein family. Over the last few decades it has established itself as a powerful technique for revealing molecular common denominators that govern enzyme function. Here, we describe the strength of ASR in unveiling catalytic mechanisms and emerging phenotypes for a range of different proteins, also highlighting biotechnological applications the methodology can provide.

AB - Ancestral sequence reconstruction (ASR) provides insight into the changes within a protein sequence across evolution. More specifically, it can illustrate how specific amino acid changes give rise to different phenotypes within a protein family. Over the last few decades it has established itself as a powerful technique for revealing molecular common denominators that govern enzyme function. Here, we describe the strength of ASR in unveiling catalytic mechanisms and emerging phenotypes for a range of different proteins, also highlighting biotechnological applications the methodology can provide.

U2 - 10.1016/j.sbi.2023.102669

DO - 10.1016/j.sbi.2023.102669

M3 - Review article

C2 - 37544113

SN - 0959-440X

VL - 82

JO - Current Opinion in Structural Biology

JF - Current Opinion in Structural Biology

M1 - 102669

ER -

Impact of ancestral sequence reconstruction on mechanistic and structural enzymology

Abstract

Access to Document

Handle.net

Fingerprint

Projects

oLife Fellowship Programme

Cite this