Literature DB >> 15733929

Energy functions for protein design: adjustment with protein-protein complex affinities, models for the unfolded state, and negative design of solubility and specificity.

Navin Pokala1, Tracy M Handel.   

Abstract

The development of the EGAD program and energy function for protein design is described. In contrast to most protein design methods, which require several empirical parameters or heuristics such as patterning of residues or rotamers, EGAD has a minimalist philosophy; it uses very few empirical factors to account for inaccuracies resulting from the use of fixed backbones and discrete rotamers in protein design calculations, and describes the unfolded state, aggregates, and alternative conformers explicitly with physical models instead of fitted parameters. This approach unveils important issues in protein design that are often camouflaged by heuristic-emphasizing methods. Inter-atom energies are modeled with the OPLS-AA all-atom forcefield, electrostatics with the generalized Born continuum model, and the hydrophobic effect with a solvent-accessible surface area-dependent term. Experimental characterization of proteins designed with an unmodified version of the energy function revealed problems with under-packing, stability, aggregation, and structural specificity. Under-packing was addressed by modifying the van der Waals function. By optimizing only three parameters, the effects of >400 mutations on protein-protein complex formation were predicted to within 1.0 kcal mol(-1). As an independent test, this modified energy function was used to predict the stabilities of >1500 mutants to within 1.0 kcal mol(-1); this required a physical model of the unfolded state that includes more interactions than traditional tripeptide-based models. Solubility and structural specificity were addressed with simple physical approximations of aggregation and conformational equilibria. The complete energy function can design protein sequences that have high levels of identity with their natural counterparts, and have predicted structural properties more consistent with soluble and uniquely folded proteins than the initial designs.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15733929     DOI: 10.1016/j.jmb.2004.12.019

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  67 in total

1.  Optimization of van der Waals energy for protein side-chain placement and design.

Authors:  Amr Fahmy; Gerhard Wagner
Journal:  Biophys J       Date:  2011-10-05       Impact factor: 4.033

2.  Enhancing antibody Fc heterodimer formation through electrostatic steering effects: applications to bispecific molecules and monovalent IgG.

Authors:  Kannan Gunasekaran; Martin Pentony; Min Shen; Logan Garrett; Carla Forte; Anne Woodward; Soo Bin Ng; Teresa Born; Marc Retter; Kathy Manchulenko; Heather Sweet; Ian N Foltz; Michael Wittekind; Wei Yan
Journal:  J Biol Chem       Date:  2010-04-16       Impact factor: 5.157

3.  Protein thermostability calculations using alchemical free energy simulations.

Authors:  Daniel Seeliger; Bert L de Groot
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

4.  Improving computational protein design by using structure-derived sequence profile.

Authors:  Liang Dai; Yuedong Yang; Hyung Rae Kim; Yaoqi Zhou
Journal:  Proteins       Date:  2010-08-01

5.  Experimental library screening demonstrates the successful application of computational protein design to large structural ensembles.

Authors:  Benjamin D Allen; Alex Nisthal; Stephen L Mayo
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-02       Impact factor: 11.205

Review 6.  Computational approaches to study the effects of small genomic variations.

Authors:  Kamil Khafizov; Maxim V Ivanov; Olga V Glazova; Sergei P Kovalenko
Journal:  J Mol Model       Date:  2015-09-08       Impact factor: 1.810

7.  Orientation and oligomerization specificity of the Bcr coiled-coil oligomerization domain.

Authors:  Christina M Taylor; Amy E Keating
Journal:  Biochemistry       Date:  2005-12-13       Impact factor: 3.162

8.  Sequence optimization and designability of enzyme active sites.

Authors:  Raj Chakrabarti; Alexander M Klibanov; Richard A Friesner
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-15       Impact factor: 11.205

9.  Interactions between anti-ErbB2 antibody A21 and the ErbB2 extracellular domain provide a basis for improving A21 affinity.

Authors:  Liang Chang; Changhai Zhou; Man Xu; Jing Liu
Journal:  J Comput Aided Mol Des       Date:  2009-12-12       Impact factor: 3.686

Review 10.  Energy functions in de novo protein design: current challenges and future prospects.

Authors:  Zhixiu Li; Yuedong Yang; Jian Zhan; Liang Dai; Yaoqi Zhou
Journal:  Annu Rev Biophys       Date:  2013-02-28       Impact factor: 12.981

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.