Physical Model of the Genotype-to-Phenotype Map of Proteins

被引:42
|
作者
Tlusty, Tsvi [1 ,2 ,3 ]
Libchaber, Albert [4 ]
Eckmann, Jean-Pierre [5 ,6 ]
机构
[1] IBS, Ctr Soft & Living Matter, Ulsan 44919, South Korea
[2] UNIST, Dept Phys, Ulsan 44919, South Korea
[3] Inst Adv Study, Simons Ctr Syst Biol, Olden Lane, Princeton, NJ 08540 USA
[4] Rockefeller Univ, 1230 York Ave, New York, NY 10021 USA
[5] Univ Geneva, Dept Phys Theor, CH-1211 Geneva, Switzerland
[6] Univ Geneva, Sect Math, CH-1211 Geneva, Switzerland
来源
PHYSICAL REVIEW X | 2017年 / 7卷 / 02期
关键词
SEQUENCE; SPECIFICITY; STABILITY; OPTIMALITY; EVOLUTION; ALLOSTERY; DYNAMICS; RIBOSOME; SPACE;
D O I
10.1103/PhysRevX.7.021037
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
How DNA is mapped to functional proteins is a basic question of living matter. We introduce and study a physical model of protein evolution which suggests a mechanical basis for this map. Many proteins rely on large-scale motion to function. We therefore treat protein as learning amorphous matter that evolves towards such a mechanical function: Genes are binary sequences that encode the connectivity of the amino acid network that makes a protein. The gene is evolved until the network forms a shear band across the protein, which allows for long-range, soft modes required for protein function. The evolution reduces the high-dimensional sequence space to a low-dimensional space of mechanical modes, in accord with the observed dimensional reduction between genotype and phenotype of proteins. Spectral analysis of the space of 10(6) solutions shows a strong correspondence between localization around the shear band of both mechanical modes and the sequence structure. Specifically, our model shows how mutations are correlated among amino acids whose interactions determine the functional mode.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Evolution of the Genotype-to-Phenotype Map and the Cost of Pleiotropy in Mammals
    Porto, Arthur
    Schmelter, Ryan
    VandeBerg, John L.
    Marroig, Gabriel
    Cheverud, James M.
    GENETICS, 2016, 204 (04) : 1601 - +
  • [2] Editorial overview: Tapping arthropod diversity to elaborate the genotype-to-phenotype map
    Clark, Richard M.
    Ragland, Gregory J.
    CURRENT OPINION IN INSECT SCIENCE, 2019, 36 : V - VIII
  • [3] Hsp90: A Global Regulator of the Genotype-to-Phenotype Map in Cancers
    Jarosz, Daniel
    HSP90 IN CANCER: BEYOND THE USUAL SUSPECTS, 2016, 129 : 225 - 247
  • [4] REPRESENTING GENOTYPE-TO-PHENOTYPE MAPPINGS
    STEWART, J
    MACLIN, R
    JOURNAL OF BIOLOGICAL EDUCATION, 1990, 24 (02) : 113 - 116
  • [5] A genotype-to-phenotype map of in vitro selected RNA-cleaving DNAzymes: implications for accessing the target phenotype
    Schlosser, Kenny
    Lam, Jeffrey C. F.
    Li, Yingfu
    NUCLEIC ACIDS RESEARCH, 2009, 37 (11) : 3545 - 3557
  • [6] Interpretable genotype-to-phenotype classifiers with performance guarantees
    Drouin, Alexandre
    Letarte, Gael
    Raymond, Frederic
    Marchand, Mario
    Corbeil, Jacques
    Laviolette, Francois
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [7] Molecular drivers and epigenetic modifiers of complex heritability revealed by a natural genotype-to-phenotype map
    Jakobson, Chris
    Aguilar-Rodriguez, Jose
    Jarosz, Daniel
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2019, 257
  • [8] Simulated data from a genotype-to-phenotype crop growth model for pepper
    Rodrigues, Paulo Canas
    DATA IN BRIEF, 2021, 36
  • [9] Interpretable genotype-to-phenotype classifiers with performance guarantees
    Alexandre Drouin
    Gaël Letarte
    Frédéric Raymond
    Mario Marchand
    Jacques Corbeil
    François Laviolette
    Scientific Reports, 9
  • [10] Global Genetic Networks and the Genotype-to-Phenotype Relationship
    Costanzo, Michael
    Kuzmin, Elena
    van Leeuwen, Jolanda
    Mair, Barbara
    Moffat, Jason
    Boone, Charles
    Andrews, Brenda
    CELL, 2019, 177 (01) : 85 - 100