Literature DB >> 26761641

comets (Constrained Optimization of Multistate Energies by Tree Search): A Provable and Efficient Protein Design Algorithm to Optimize Binding Affinity and Specificity with Respect to Sequence.

Mark A Hallen1,2, Bruce R Donald1,2,3.   

Abstract

Practical protein design problems require designing sequences with a combination of affinity, stability, and specificity requirements. Multistate protein design algorithms model multiple structural or binding "states" of a protein to address these requirements. comets provides a new level of versatile, efficient, and provable multistate design. It provably returns the minimum with respect to sequence of any desired linear combination of the energies of multiple protein states, subject to constraints on other linear combinations. Thus, it can target nearly any combination of affinity (to one or multiple ligands), specificity, and stability (for multiple states if needed). Empirical calculations on 52 protein design problems showed comets is far more efficient than the previous state of the art for provable multistate design (exhaustive search over sequences). comets can handle a very wide range of protein flexibility and can enumerate a gap-free list of the best constraint-satisfying sequences in order of objective function value.

Entities:  

Keywords:  algorithms; branch-and-bound; combinatorial optimization; drug design; protein structure

Mesh:

Substances:

Year:  2016        PMID: 26761641      PMCID: PMC4876521          DOI: 10.1089/cmb.2015.0188

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  32 in total

1.  Native protein sequences are close to optimal for their structures.

Authors:  B Kuhlman; D Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2000-09-12       Impact factor: 11.205

2.  Protein design is NP-hard.

Authors:  Niles A Pierce; Erik Winfree
Journal:  Protein Eng       Date:  2002-10

3.  Solving and analyzing side-chain positioning problems using linear and integer programming.

Authors:  Carleton L Kingsford; Bernard Chazelle; Mona Singh
Journal:  Bioinformatics       Date:  2004-11-16       Impact factor: 6.937

4.  Predicting resistance mutations using protein design algorithms.

Authors:  Kathleen M Frey; Ivelin Georgiev; Bruce R Donald; Amy C Anderson
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-19       Impact factor: 11.205

5.  Crystal structure of the Caenorhabditis elegans apoptosome reveals an octameric assembly of CED-4.

Authors:  Shiqian Qi; Yuxuan Pang; Qi Hu; Qun Liu; Hua Li; Yulian Zhou; Tianxi He; Qionglin Liang; Yexing Liu; Xiaoqiu Yuan; Guoan Luo; Huilin Li; Jiawei Wang; Nieng Yan; Yigong Shi
Journal:  Cell       Date:  2010-04-30       Impact factor: 41.582

6.  Improved Pruning algorithms and Divide-and-Conquer strategies for Dead-End Elimination, with application to protein design.

Authors:  Ivelin Georgiev; Ryan H Lilien; Bruce R Donald
Journal:  Bioinformatics       Date:  2006-07-15       Impact factor: 6.937

7.  Design of multispecific protein sequences using probabilistic graphical modeling.

Authors:  Menachem Fromer; Chen Yanover; Michal Linial
Journal:  Proteins       Date:  2010-02-15

8.  Structure of the CED-4-CED-9 complex provides insights into programmed cell death in Caenorhabditis elegans.

Authors:  Nieng Yan; Jijie Chai; Eui Seung Lee; Lichuan Gu; Qun Liu; Jiaqing He; Jia-Wei Wu; David Kokel; Huilin Li; Quan Hao; Ding Xue; Yigong Shi
Journal:  Nature       Date:  2005-10-06       Impact factor: 49.962

9.  Antibodies VRC01 and 10E8 neutralize HIV-1 with high breadth and potency even with Ig-framework regions substantially reverted to germline.

Authors:  Ivelin S Georgiev; Rebecca S Rudicell; Kevin O Saunders; Wei Shi; Tatsiana Kirys; Krisha McKee; Sijy O'Dell; Gwo-Yu Chuang; Zhi-Yong Yang; Gilad Ofek; Mark Connors; John R Mascola; Gary J Nabel; Peter D Kwong
Journal:  J Immunol       Date:  2014-01-03       Impact factor: 5.422

10.  Computational design of a PDZ domain peptide inhibitor that rescues CFTR activity.

Authors:  Kyle E Roberts; Patrick R Cushing; Prisca Boisguerin; Dean R Madden; Bruce R Donald
Journal:  PLoS Comput Biol       Date:  2012-04-19       Impact factor: 4.475

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  11 in total

1.  Computationally optimized deimmunization libraries yield highly mutated enzymes with low immunogenicity and enhanced activity.

Authors:  Regina S Salvat; Deeptak Verma; Andrew S Parker; Jack R Kirsch; Seth A Brooks; Chris Bailey-Kellogg; Karl E Griswold
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-12       Impact factor: 11.205

2.  LUTE (Local Unpruned Tuple Expansion): Accurate Continuously Flexible Protein Design with General Energy Functions and Rigid Rotamer-Like Efficiency.

Authors:  Mark A Hallen; Jonathan D Jou; Bruce R Donald
Journal:  J Comput Biol       Date:  2016-09-28       Impact factor: 1.479

3.  BBK* (Branch and Bound Over K*): A Provable and Efficient Ensemble-Based Protein Design Algorithm to Optimize Stability and Binding Affinity Over Large Sequence Spaces.

Authors:  Adegoke A Ojewole; Jonathan D Jou; Vance G Fowler; Bruce R Donald
Journal:  J Comput Biol       Date:  2018-03-13       Impact factor: 1.479

4.  Protein Design by Provable Algorithms.

Authors:  Mark A Hallen; Bruce R Donald
Journal:  Commun ACM       Date:  2019-10       Impact factor: 4.654

Review 5.  Algorithms for protein design.

Authors:  Pablo Gainza; Hunter M Nisonoff; Bruce R Donald
Journal:  Curr Opin Struct Biol       Date:  2016-04-14       Impact factor: 6.809

6.  OSPREY Predicts Resistance Mutations Using Positive and Negative Computational Protein Design.

Authors:  Adegoke Ojewole; Anna Lowegard; Pablo Gainza; Stephanie M Reeve; Ivelin Georgiev; Amy C Anderson; Bruce R Donald
Journal:  Methods Mol Biol       Date:  2017

7.  OSPREY 3.0: Open-source protein redesign for you, with powerful new features.

Authors:  Mark A Hallen; Jeffrey W Martin; Adegoke Ojewole; Jonathan D Jou; Anna U Lowegard; Marcel S Frenkel; Pablo Gainza; Hunter M Nisonoff; Aditya Mukund; Siyu Wang; Graham T Holt; David Zhou; Elizabeth Dowd; Bruce R Donald
Journal:  J Comput Chem       Date:  2018-10-14       Impact factor: 3.376

8.  De Novo Protein Design for Novel Folds Using Guided Conditional Wasserstein Generative Adversarial Networks.

Authors:  Mostafa Karimi; Shaowen Zhu; Yue Cao; Yang Shen
Journal:  J Chem Inf Model       Date:  2020-09-30       Impact factor: 4.956

9.  iCFN: an efficient exact algorithm for multistate protein design.

Authors:  Mostafa Karimi; Yang Shen
Journal:  Bioinformatics       Date:  2018-09-01       Impact factor: 6.937

10.  CATS (Coordinates of Atoms by Taylor Series): protein design with backbone flexibility in all locally feasible directions.

Authors:  Mark A Hallen; Bruce R Donald
Journal:  Bioinformatics       Date:  2017-07-15       Impact factor: 6.937

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