LoopGrafter: a web tool for transplanting dynamical loops for protein engineering

Author:

Planas-Iglesias Joan12ORCID,Opaleny Filip3,Ulbrich Pavol3,Stourac Jan12,Sanusi Zainab1,Pinto Gaspar P12,Schenkmayerova Andrea12ORCID,Byska Jan3,Damborsky Jiri12ORCID,Kozlikova Barbora3,Bednar David12ORCID

Affiliation:

1. Loschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University , 625 00 Brno , Czech Republic

2. International Clinical Research Center, St Anne’s University Hospital Brno , 656 916 Brno , Czech Republic

3. Department of Visual Computing, Faculty of Informatics, Masaryk University , 602 00 Brno , Czech Republic

Abstract

AbstractThe transplantation of loops between structurally related proteins is a compelling method to improve the activity, specificity and stability of enzymes. However, despite the interest of loop regions in protein engineering, the available methods of loop-based rational protein design are scarce. One particular difficulty related to loop engineering is the unique dynamism that enables them to exert allosteric control over the catalytic function of enzymes. Thus, when engaging in a transplantation effort, such dynamics in the context of protein structure need consideration. A second practical challenge is identifying successful excision points for the transplantation or grafting. Here, we present LoopGrafter (https://loschmidt.chemi.muni.cz/loopgrafter/), a web server that specifically guides in the loop grafting process between structurally related proteins. The server provides a step-by-step interactive procedure in which the user can successively identify loops in the two input proteins, calculate their geometries, assess their similarities and dynamics, and select a number of loops to be transplanted. All possible different chimeric proteins derived from any existing recombination point are calculated, and 3D models for each of them are constructed and energetically evaluated. The obtained results can be interactively visualized in a user-friendly graphical interface and downloaded for detailed structural analyses.

Funder

Czech Ministry of Education

Czech Science Foundation

Horizon 2020

Publisher

Oxford University Press (OUP)

Subject

Genetics

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