Literature DB >> 25448866

The Iterative Protein Redesign and Optimization (IPRO) suite of programs.

Robert J Pantazes1, Matthew J Grisewood, Tong Li, Nathanael P Gifford, Costas D Maranas.   

Abstract

Proteins are an important class of biomolecules with applications spanning across biotechnology and medicine. In many cases, native proteins must be redesigned to improve various performance metrics by changing their amino acid sequences. Algorithms can help sharpen protein library design by focusing the library on sequences that optimize computationally accessible proxies. The Iterative Protein Redesign and Optimization (IPRO) suite of programs offers an integrated environment for (1) altering protein binding affinity and specificity, (2) grafting a binding pocket into an existing protein scaffold, (3) predicting an antibody's tertiary structure based on its sequence, (4) enhancing enzymatic activity, and (5) assessing the structure and binding energetics for a specific mutant. This manuscript provides an overview of the methods involved in IPRO, input language terminology, algorithmic details, software implementation specifics and application highlights. IPRO can be downloaded at http://maranas.che.psu.edu.
© 2014 Wiley Periodicals, Inc.

Keywords:  IPRO; antibodies; computational design; enzymes; proteins

Mesh:

Substances:

Year:  2014        PMID: 25448866     DOI: 10.1002/jcc.23796

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  11 in total

1.  FASPR: an open-source tool for fast and accurate protein side-chain packing.

Authors:  Xiaoqiang Huang; Robin Pearce; Yang Zhang
Journal:  Bioinformatics       Date:  2020-06-01       Impact factor: 6.937

2.  Directed Evolution Reveals the Functional Sequence Space of an Adenylation Domain Specificity Code.

Authors:  Kurt Throckmorton; Vladimir Vinnik; Ratul Chowdhury; Taylor Cook; Marc G Chevrette; Costas Maranas; Brian Pfleger; Michael George Thomas
Journal:  ACS Chem Biol       Date:  2019-09-03       Impact factor: 5.100

3.  Computational Redesign of Acyl-ACP Thioesterase with Improved Selectivity toward Medium-Chain-Length Fatty Acids.

Authors:  Matthew J Grisewood; Néstor J Hernandez Lozada; James B Thoden; Nathanael P Gifford; Daniel Mendez-Perez; Haley A Schoenberger; Matthew F Allan; Martha E Floy; Rung-Yi Lai; Hazel M Holden; Brian F Pfleger; Costas D Maranas
Journal:  ACS Catal       Date:  2017-04-20       Impact factor: 13.084

4.  Identifying metal binding amino acids based on backbone geometries as a tool for metalloprotein engineering.

Authors:  Hoang Nguyen; Jesse Kleingardner
Journal:  Protein Sci       Date:  2021-04-20       Impact factor: 6.993

5.  Facile Affinity Maturation of Antibody Variable Domains Using Natural Diversity Mutagenesis.

Authors:  Kathryn E Tiller; Ratul Chowdhury; Tong Li; Seth D Ludwig; Sabyasachi Sen; Costas D Maranas; Peter M Tessier
Journal:  Front Immunol       Date:  2017-09-04       Impact factor: 7.561

6.  SKEMPI 2.0: an updated benchmark of changes in protein-protein binding energy, kinetics and thermodynamics upon mutation.

Authors:  Justina Jankauskaite; Brian Jiménez-García; Justas Dapkunas; Juan Fernández-Recio; Iain H Moal
Journal:  Bioinformatics       Date:  2019-02-01       Impact factor: 6.937

7.  De novo design of antibody complementarity determining regions binding a FLAG tetra-peptide.

Authors:  Kevin C Entzminger; Jeong-Min Hyun; Robert J Pantazes; Athena C Patterson-Orazem; Ahlam N Qerqez; Zach P Frye; Randall A Hughes; Andrew D Ellington; Raquel L Lieberman; Costas D Maranas; Jennifer A Maynard
Journal:  Sci Rep       Date:  2017-08-31       Impact factor: 4.379

Review 8.  A review of computational tools for design and reconstruction of metabolic pathways.

Authors:  Lin Wang; Satyakam Dash; Chiam Yu Ng; Costas D Maranas
Journal:  Synth Syst Biotechnol       Date:  2017-11-15

9.  PoreDesigner for tuning solute selectivity in a robust and highly permeable outer membrane pore.

Authors:  Ratul Chowdhury; Tingwei Ren; Manish Shankla; Karl Decker; Matthew Grisewood; Jeevan Prabhakar; Carol Baker; John H Golbeck; Aleksei Aksimentiev; Manish Kumar; Costas D Maranas
Journal:  Nat Commun       Date:  2018-09-10       Impact factor: 14.919

10.  Computational biophysical characterization of the SARS-CoV-2 spike protein binding with the ACE2 receptor and implications for infectivity.

Authors:  Ratul Chowdhury; Veda Sheersh Boorla; Costas D Maranas
Journal:  Comput Struct Biotechnol J       Date:  2020-09-18       Impact factor: 7.271

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