Literature DB >> 35332283

Design of protein-binding proteins from the target structure alone.

Longxing Cao1,2, Brian Coventry1,2,3, Inna Goreshnik1,2, Buwei Huang1,2,4, William Sheffler1,2, Joon Sung Park5, Kevin M Jude6,7,8, Iva Marković9,10, Rameshwar U Kadam11, Koen H G Verschueren9,10, Kenneth Verstraete9,10, Scott Thomas Russell Walsh12,13, Nathaniel Bennett1,2,3, Ashish Phal1,4,14, Aerin Yang6,7,8, Lisa Kozodoy1,2, Michelle DeWitt1,2, Lora Picton6,7,8, Lauren Miller1,2, Eva-Maria Strauch15, Nicholas D DeBouver16,17, Allison Pires17,18, Asim K Bera1,2, Samer Halabiya19, Bradley Hammerson17, Wei Yang1,2, Steffen Bernard11, Lance Stewart1,2, Ian A Wilson11,20, Hannele Ruohola-Baker1,14, Joseph Schlessinger5, Sangwon Lee5, Savvas N Savvides9,10, K Christopher Garcia6,7,8, David Baker21,22,23.   

Abstract

The design of proteins that bind to a specific site on the surface of a target protein using no information other than the three-dimensional structure of the target remains a challenge1-5. Here we describe a general solution to this problem that starts with a broad exploration of the vast space of possible binding modes to a selected region of a protein surface, and then intensifies the search in the vicinity of the most promising binding modes. We demonstrate the broad applicability of this approach through the de novo design of binding proteins to 12 diverse protein targets with different shapes and surface properties. Biophysical characterization shows that the binders, which are all smaller than 65 amino acids, are hyperstable and, following experimental optimization, bind their targets with nanomolar to picomolar affinities. We succeeded in solving crystal structures of five of the binder-target complexes, and all five closely match the corresponding computational design models. Experimental data on nearly half a million computational designs and hundreds of thousands of point mutants provide detailed feedback on the strengths and limitations of the method and of our current understanding of protein-protein interactions, and should guide improvements of both. Our approach enables the targeted design of binders to sites of interest on a wide variety of proteins for therapeutic and diagnostic applications.
© 2022. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

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Year:  2022        PMID: 35332283      PMCID: PMC9117152          DOI: 10.1038/s41586-022-04654-9

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   69.504


  66 in total

1.  De novo design of potent and selective mimics of IL-2 and IL-15.

Authors:  Daniel-Adriano Silva; Shawn Yu; Umut Y Ulge; Jamie B Spangler; Kevin M Jude; Carlos Labão-Almeida; Lestat R Ali; Alfredo Quijano-Rubio; Mikel Ruterbusch; Isabel Leung; Tamara Biary; Stephanie J Crowley; Enrique Marcos; Carl D Walkey; Brian D Weitzner; Fátima Pardo-Avila; Javier Castellanos; Lauren Carter; Lance Stewart; Stanley R Riddell; Marion Pepper; Gonçalo J L Bernardes; Michael Dougan; K Christopher Garcia; David Baker
Journal:  Nature       Date:  2019-01-09       Impact factor: 49.962

2.  Massively parallel de novo protein design for targeted therapeutics.

Authors:  Aaron Chevalier; Daniel-Adriano Silva; Gabriel J Rocklin; Derrick R Hicks; Renan Vergara; Patience Murapa; Steffen M Bernard; Lu Zhang; Kwok-Ho Lam; Guorui Yao; Christopher D Bahl; Shin-Ichiro Miyashita; Inna Goreshnik; James T Fuller; Merika T Koday; Cody M Jenkins; Tom Colvin; Lauren Carter; Alan Bohn; Cassie M Bryan; D Alejandro Fernández-Velasco; Lance Stewart; Min Dong; Xuhui Huang; Rongsheng Jin; Ian A Wilson; Deborah H Fuller; David Baker
Journal:  Nature       Date:  2017-09-27       Impact factor: 49.962

3.  Computational design of proteins targeting the conserved stem region of influenza hemagglutinin.

Authors:  Sarel J Fleishman; Timothy A Whitehead; Damian C Ekiert; Cyrille Dreyfus; Jacob E Corn; Eva-Maria Strauch; Ian A Wilson; David Baker
Journal:  Science       Date:  2011-05-13       Impact factor: 47.728

4.  Global analysis of protein folding using massively parallel design, synthesis, and testing.

Authors:  Gabriel J Rocklin; Tamuka M Chidyausiku; Inna Goreshnik; Alex Ford; Scott Houliston; Alexander Lemak; Lauren Carter; Rashmi Ravichandran; Vikram K Mulligan; Aaron Chevalier; Cheryl H Arrowsmith; David Baker
Journal:  Science       Date:  2017-07-14       Impact factor: 47.728

5.  Perturbing the energy landscape for improved packing during computational protein design.

Authors:  Jack B Maguire; Hugh K Haddox; Devin Strickland; Samer F Halabiya; Brian Coventry; Jermel R Griffin; Surya V S R K Pulavarti; Matthew Cummins; David F Thieker; Eric Klavins; Thomas Szyperski; Frank DiMaio; David Baker; Brian Kuhlman
Journal:  Proteins       Date:  2020-12-11

6.  PatchDock and SymmDock: servers for rigid and symmetric docking.

Authors:  Dina Schneidman-Duhovny; Yuval Inbar; Ruth Nussinov; Haim J Wolfson
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

7.  Computational design of trimeric influenza-neutralizing proteins targeting the hemagglutinin receptor binding site.

Authors:  Eva-Maria Strauch; Steffen M Bernard; David La; Alan J Bohn; Peter S Lee; Caitlin E Anderson; Travis Nieusma; Carly A Holstein; Natalie K Garcia; Kathryn A Hooper; Rashmi Ravichandran; Jorgen W Nelson; William Sheffler; Jesse D Bloom; Kelly K Lee; Andrew B Ward; Paul Yager; Deborah H Fuller; Ian A Wilson; David Baker
Journal:  Nat Biotechnol       Date:  2017-06-12       Impact factor: 54.908

8.  Principles for computational design of binding antibodies.

Authors:  Dror Baran; M Gabriele Pszolla; Gideon D Lapidoth; Christoffer Norn; Orly Dym; Tamar Unger; Shira Albeck; Michael D Tyka; Sarel J Fleishman
Journal:  Proc Natl Acad Sci U S A       Date:  2017-09-25       Impact factor: 11.205

9.  Principles for designing ideal protein structures.

Authors:  Nobuyasu Koga; Rie Tatsumi-Koga; Gaohua Liu; Rong Xiao; Thomas B Acton; Gaetano T Montelione; David Baker
Journal:  Nature       Date:  2012-11-08       Impact factor: 49.962

10.  De novo design of a fluorescence-activating β-barrel.

Authors:  Jiayi Dou; Anastassia A Vorobieva; William Sheffler; Lindsey A Doyle; Hahnbeom Park; Matthew J Bick; Binchen Mao; Glenna W Foight; Min Yen Lee; Lauren A Gagnon; Lauren Carter; Banumathi Sankaran; Sergey Ovchinnikov; Enrique Marcos; Po-Ssu Huang; Joshua C Vaughan; Barry L Stoddard; David Baker
Journal:  Nature       Date:  2018-09-12       Impact factor: 49.962

View more
  8 in total

1.  Dissecting the stability determinants of a challenging de novo protein fold using massively parallel design and experimentation.

Authors:  Tae-Eun Kim; Kotaro Tsuboyama; Scott Houliston; Cydney M Martell; Claire M Phoumyvong; Alexander Lemak; Hugh K Haddox; Cheryl H Arrowsmith; Gabriel J Rocklin
Journal:  Proc Natl Acad Sci U S A       Date:  2022-10-03       Impact factor: 12.779

2.  Carbohydrates: Binding Sites and Potential Drug Targets for Neural-Affecting Pathogens.

Authors:  Cara-Lynne Schengrund
Journal:  Adv Neurobiol       Date:  2023

3.  Tertiary motifs as building blocks for the design of protein-binding peptides.

Authors:  Sebastian Swanson; Venkatesh Sivaraman; Gevorg Grigoryan; Amy E Keating
Journal:  Protein Sci       Date:  2022-06       Impact factor: 6.993

Review 4.  G-Quadruplex-Binding Proteins: Promising Targets for Drug Design.

Authors:  Huiling Shu; Rongxin Zhang; Ke Xiao; Jing Yang; Xiao Sun
Journal:  Biomolecules       Date:  2022-04-29

5.  Solubility-Aware Protein Binding Peptide Design Using AlphaFold.

Authors:  Takatsugu Kosugi; Masahito Ohue
Journal:  Biomedicines       Date:  2022-07-07

6.  Discovery of a drug to treat airway mucus hypersecretion.

Authors:  Burton F Dickey; Ying Lai; Manfred Frick; Axel T Brunger
Journal:  Clin Transl Med       Date:  2022-08

7.  Nanobody-based RFP-dependent Cre recombinase for selective anterograde tracing in RFP-expressing transgenic animals.

Authors:  Ayumu Inutsuka; Sho Maejima; Hiroyuki Mizoguchi; Ryosuke Kaneko; Rei Nomura; Keiko Takanami; Hirotaka Sakamoto; Tatsushi Onaka
Journal:  Commun Biol       Date:  2022-09-16

Review 8.  Next-Generation Molecular Discovery: From Bottom-Up In Vivo and In Vitro Approaches to In Silico Top-Down Approaches for Therapeutics Neogenesis.

Authors:  Sophie E Kenny; Fiach Antaw; Warwick J Locke; Christopher B Howard; Darren Korbie; Matt Trau
Journal:  Life (Basel)       Date:  2022-03-02
  8 in total

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