TY - JOUR
T1 - The interface of protein structure, protein biophysics, and molecular evolution
AU - Liberles, David A.
AU - Teichmann, Sarah A.
AU - Bahar, Ivet
AU - Bastolla, Ugo
AU - Bloom, Jesse
AU - Bornberg-Bauer, Erich
AU - Colwell, Lucy J.
AU - De Koning, A. P.Jason
AU - Dokholyan, Nikolay V.
AU - Echave, Julian
AU - Elofsson, Arne
AU - Gerloff, Dietlind L.
AU - Goldstein, Richard A.
AU - Grahnen, Johan A.
AU - Holder, Mark T.
AU - Lakner, Clemens
AU - Lartillot, Nicholas
AU - Lovell, Simon C.
AU - Naylor, Gavin
AU - Perica, Tina
AU - Pollock, David D.
AU - Pupko, Tal
AU - Regan, Lynne
AU - Roger, Andrew
AU - Rubinstein, Nimrod
AU - Shakhnovich, Eugene
AU - Sjølander, Kimmen
AU - Sunyaev, Shamil
AU - Teufel, Ashley I.
AU - Thorne, Jeffrey L.
AU - Thornton, Joseph W.
AU - Weinreich, Daniel M.
AU - Whelan, Simon
PY - 2012/6
Y1 - 2012/6
N2 - The interface of protein structural biology, protein biophysics, molecular evolution, and molecular population genetics forms the foundations for a mechanistic understanding of many aspects of protein biochemistry. Current efforts in interdisciplinary protein modeling are in their infancy and the state-of-the art of such models is described. Beyond the relationship between amino acid substitution and static protein structure, protein function, and corresponding organismal fitness, other considerations are also discussed. More complex mutational processes such as insertion and deletion and domain rearrangements and even circular permutations should be evaluated. The role of intrinsically disordered proteins is still controversial, but may be increasingly important to consider. Protein geometry and protein dynamics as a deviation from static considerations of protein structure are also important. Protein expression level is known to be a major determinant of evolutionary rate and several considerations including selection at the mRNA level and the role of interaction specificity are discussed. Lastly, the relationship between modeling and needed high-throughput experimental data as well as experimental examination of protein evolution using ancestral sequence resurrection and in vitro biochemistry are presented, towards an aim of ultimately generating better models for biological inference and prediction.
AB - The interface of protein structural biology, protein biophysics, molecular evolution, and molecular population genetics forms the foundations for a mechanistic understanding of many aspects of protein biochemistry. Current efforts in interdisciplinary protein modeling are in their infancy and the state-of-the art of such models is described. Beyond the relationship between amino acid substitution and static protein structure, protein function, and corresponding organismal fitness, other considerations are also discussed. More complex mutational processes such as insertion and deletion and domain rearrangements and even circular permutations should be evaluated. The role of intrinsically disordered proteins is still controversial, but may be increasingly important to consider. Protein geometry and protein dynamics as a deviation from static considerations of protein structure are also important. Protein expression level is known to be a major determinant of evolutionary rate and several considerations including selection at the mRNA level and the role of interaction specificity are discussed. Lastly, the relationship between modeling and needed high-throughput experimental data as well as experimental examination of protein evolution using ancestral sequence resurrection and in vitro biochemistry are presented, towards an aim of ultimately generating better models for biological inference and prediction.
KW - Ancestral sequence reconstruction
KW - Domain evolution
KW - Evolutionary modeling
KW - Gene duplication
KW - Protein dynamics
KW - Protein expression
KW - Protein thermodynamics
KW - Sequence-structure-function relationships
UR - https://www.scopus.com/pages/publications/84861434946
U2 - 10.1002/pro.2071
DO - 10.1002/pro.2071
M3 - Review article
C2 - 22528593
AN - SCOPUS:84861434946
SN - 0961-8368
VL - 21
SP - 769
EP - 785
JO - Protein Science
JF - Protein Science
IS - 6
ER -