González-Torres I, Perez-Rueda E, Evangelista-Martínez Z, Zárate-Romero A, Moreno-Enríquez A, Huerta-Saquero A. Identification of L-asparaginases from
Streptomyces strains with competitive activity and immunogenic profiles: a bioinformatic approach.
PeerJ 2020;
8:e10276. [PMID:
33240625 PMCID:
PMC7668207 DOI:
10.7717/peerj.10276]
[Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 10/08/2020] [Indexed: 11/24/2022] Open
Abstract
The enzyme L-asparaginase from Escherichia coli is a therapeutic enzyme that has been a cornerstone in the clinical treatment of acute lymphoblastic leukemia for the last decades. However, treatment effectiveness is limited by the highly immunogenic nature of the protein and its cross-reactivity towards L-glutamine. In this work, a bioinformatic approach was used to identify, select and computationally characterize L-asparaginases from Streptomyces through sequence-based screening analyses, immunoinformatics, homology modeling, and molecular docking studies. Based on its predicted low immunogenicity and excellent enzymatic activity, we selected a previously uncharacterized L-asparaginase from Streptomyces scabrisporus. Furthermore, two putative asparaginase binding sites were identified and a 3D model is proposed. These promising features allow us to propose L-asparaginase from S. scabrisporus as an alternative for the treatment of acute lymphocytic leukemia.
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