Simple electrostatic model improves designed protein sequences

被引:14
|
作者
Zollars, Eric S.
Marshall, Shannon A.
Mayo, Stephen L.
机构
[1] CALTECH, Biochem & Mol Biophys, Pasadena, CA 91125 USA
[2] CALTECH, Div Chem & Chem Engn, Pasadena, CA 91125 USA
[3] CALTECH, Howard Hughes Med Inst, Pasadena, CA 91125 USA
关键词
protein design; electrostatics; engrailed; N-capping;
D O I
10.1110/ps.062105506
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Electrostatic interactions are important for both protein stability and function, including binding and catalysis. As protein design moves into these areas, an accurate description of electrostatic energy becomes necessary. Here, we show that a simple distance-dependent Coulombic function parameterized by a comparison to Poisson-Boltzmann calculations is able to capture some of these electrostatic interactions. Specifically, all three helix N-capping interactions in the engrailed homeodomain fold are recovered using the newly parameterized model. The stability of this designed protein is similar to a protein forced by sequence restriction to have beneficial electrostatic interactions.
引用
收藏
页码:2014 / 2018
页数:5
相关论文
共 50 条
  • [21] SIMPLE ELECTROSTATIC MODEL OF THE STRUCTURAL PHASE-TRANSITION
    BEREZIN, AA
    AMERICAN JOURNAL OF PHYSICS, 1986, 54 (05) : 403 - 405
  • [22] A SIMPLE PERTURBATION MODEL FOR THE ELECTROSTATIC SHAPE OF FALLING DROPS
    BEARD, KV
    FENG, JQ
    CHUANG, C
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 1989, 46 (15) : 2404 - 2418
  • [23] THE AUGER PARAMETER AND THE POLARIZATION ENERGY - A SIMPLE ELECTROSTATIC MODEL
    MORETTI, G
    SURFACE AND INTERFACE ANALYSIS, 1990, 16 (1-12) : 159 - 162
  • [24] Mechanism of thermostabilization in a designed cold shock protein with optimized surface electrostatic interactions
    Makhatadze, GI
    Loladze, VV
    Gribenko, AV
    Lopez, MM
    JOURNAL OF MOLECULAR BIOLOGY, 2004, 336 (04) : 929 - 942
  • [25] A Simple-Transition Model for Relational Sequences
    Fern, Alan
    19TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-05), 2005, : 696 - 701
  • [26] A Simple Model for Sequences of Relational State Descriptions
    Thou, Ingo
    Landwehr, Niels
    De Raedt, Luc
    MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PART II, PROCEEDINGS, 2008, 5212 : 506 - 521
  • [27] Can computationally designed protein sequences improve secondary structure prediction?
    Bondugula, Rajkumar
    Wallqvist, Anders
    Lee, Michael S.
    PROTEIN ENGINEERING DESIGN & SELECTION, 2011, 24 (05): : 455 - 461
  • [28] Classification of protein sequences by homology modeling and quantitative analysis of electrostatic similarity
    Blomberg, N
    Gabdoulline, RR
    Nilges, M
    Wade, RC
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 1999, 37 (03) : 379 - 387
  • [29] Understanding the Role of Chain Flexibility in Amyloid Protein Aggregation through Rationally Designed Protein Sequences
    Vance, Steven Z.
    Redmon, Xavier
    Hall, Rachel
    Moore, Colman
    Booth, Gram
    Hestekin, Christa
    Moss, Melissa
    BIOPHYSICAL JOURNAL, 2017, 112 (03) : 52A - 52A
  • [30] ELECTROSTATIC MODEL FOR PROTEIN REVERSE MICELLE COMPLEXATION
    BRATKO, D
    LUZAR, A
    CHEN, SH
    JOURNAL OF CHEMICAL PHYSICS, 1988, 89 (01): : 545 - 550