VYMETAL, Jiri, Katerina MERTOVA, Kristyna BOUSOVA, Josef SULC, Konstantinos TRIPSIANES and Jiri VONDRASEK. Fusion of two unrelated protein domains in a chimera protein and its 3D prediction: Justification of the x-ray reference structures as a prediction benchmark. Proteins: Structure, Function, and Bioinformatics. 2022, vol. 90, No 12, p. 2067-2079. ISSN 0887-3585. Available from: https://dx.doi.org/10.1002/prot.26398.
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Basic information
Original name Fusion of two unrelated protein domains in a chimera protein and its 3D prediction: Justification of the x-ray reference structures as a prediction benchmark
Authors VYMETAL, Jiri, Katerina MERTOVA, Kristyna BOUSOVA, Josef SULC, Konstantinos TRIPSIANES (300 Greece, guarantor, belonging to the institution) and Jiri VONDRASEK.
Edition Proteins: Structure, Function, and Bioinformatics, 2022, 0887-3585.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10608 Biochemistry and molecular biology
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.900
RIV identification code RIV/00216224:14740/22:00128476
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1002/prot.26398
UT WoS 000830348600001
Keywords in English 3D structure prediction; fusion proteins; molecular simulations; x-ray crystallography
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Pavla Foltynová, Ph.D., učo 106624. Changed: 1/2/2023 12:40.
Abstract
Proteins are naturally formed by domains edging their functional and structural properties. A domain out of the context of an entire protein can retain its structure and to some extent also function on its own. These properties rationalize construction of artificial fusion multidomain proteins with unique combination of various functions. Information on the specific functional and structural characteristics of individual domains in the context of new artificial fusion proteins is inevitably encoded in sequential order of composing domains defining their mutual spatial positions. So the challenges in designing new proteins with new domain combinations lie dominantly in structure/function prediction and its context dependency. Despite the enormous body of publications on artificial fusion proteins, the task of their structure/function prediction is complex and nontrivial. The degree of spatial freedom facilitated by a linker between domains and their mutual orientation driven by noncovalent interactions is beyond a simple and straightforward methodology to predict their structure with reasonable accuracy. In the presented manuscript, we tested methodology using available modeling tools and computational methods. We show that the process and methodology of such prediction are not straightforward and must be done with care even when recently introduced AlphaFold II is used. We also addressed a question of benchmarking standards for prediction of multidomain protein structures-x-ray or Nuclear Magnetic Resonance experiments. On the study of six two-domain protein chimeras as well as their composing domains and their x-ray structures selected from PDB, we conclude that the major obstacle for justified prediction is inappropriate sampling of the conformational space by the explored methods. On the other hands, we can still address particular steps of the methodology and improve the process of chimera proteins prediction.
Links
GA19-03488S, research and development projectName: Ovládání na dálku: Alosterická kontrola selektivity PDZ3 domény ze ZO-1 proteinu v chimerických fúzních konstruktech
Investor: Czech Science Foundation
LM2018131, research and development projectName: Česká národní infrastruktura pro biologická data (Acronym: ELIXIR-CZ)
Investor: Ministry of Education, Youth and Sports of the CR, Czech National Infrastructure for Biological Data
LM2018140, research and development projectName: e-Infrastruktura CZ (Acronym: e-INFRA CZ)
Investor: Ministry of Education, Youth and Sports of the CR
LQ1601, research and development projectName: CEITEC 2020 (Acronym: CEITEC2020)
Investor: Ministry of Education, Youth and Sports of the CR
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