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1.
J Mol Recognit ; 26(2): 113-20, 2013 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-23334919

RESUMO

Human tyrosyl-tRNA synthetase (HsTyrRS) is composed of two structural modules: N-terminal catalytic core and an EMAP II-like C-terminal domain. The structures of these modules are known, but no crystal structure of the full-length HsTyrRS is currently available. An all-atom model of the full-length HsTyrRS was developed in this work. The structure, dynamics, and domain binding interfaces of HsTyrRS were investigated by extensive molecular dynamics (MD) simulations. Our data suggest that HsTyrRS in solution consists of a number of compact asymmetric conformations, which differ significantly by their rigidity, internal mobility, orientation of C-terminal modules, and the strength of interdomain binding. Interfaces of domain binding obtained in MD simulations are in perfect agreement with our previous coarse-grained hierarchical rotations technique simulations. Formation of the hydrogen bonds between R93 residue of the ELR cytokine motif and the residues A340 and E479 in the C-module was observed. This observation supports the idea that the lack of cytokine activity in the full-length HsTyrRS is explained by interactions between N-modules and C-modules, which block the ELR motif.


Assuntos
Citocinas/química , Simulação de Dinâmica Molecular , Software , Tirosina-tRNA Ligase/química , Motivos de Aminoácidos , Sítios de Ligação , Bases de Dados de Proteínas , Humanos , Ligação de Hidrogênio , Cinética , Dados de Sequência Molecular , Ligação Proteica , Estrutura Secundária de Proteína , Estrutura Terciária de Proteína , Termodinâmica
2.
Mol Aspects Med ; 91: 101151, 2023 06.
Artigo em Inglês | MEDLINE | ID: mdl-36371228

RESUMO

With more than 5 million fatalities and close to 300 million reported cases, COVID-19 is the first documented pandemic due to a coronavirus that continues to be a major health challenge. Despite being rapid, uncontrollable, and highly infectious in its spread, it also created incentives for technology development and redefined public health needs and research agendas to fast-track innovations to be translated. Breakthroughs in computational biology peaked during the pandemic with renewed attention to making all cutting-edge technology deliver agents to combat the disease. The demand to develop effective treatments yielded surprising collaborations from previously segregated fields of science and technology. The long-standing pharmaceutical industry's aversion to repurposing existing drugs due to a lack of exponential financial gain was overrun by the health crisis and pressures created by front-line researchers and providers. Effective vaccine development even at an unprecedented pace took more than a year to develop and commence trials. Now the emergence of variants and waning protections during the booster shots is resulting in breakthrough infections that continue to strain health care systems. As of now, every protein of SARS-CoV-2 has been structurally characterized and related host pathways have been extensively mapped out. The research community has addressed the druggability of a multitude of possible targets. This has been made possible due to existing technology for virtual computer-assisted drug development as well as new tools and technologies such as artificial intelligence to deliver new leads. Here in this article, we are discussing advances in the drug discovery field related to target-based drug discovery and exploring the implications of known target-specific agents on COVID-19 therapeutic management. The current scenario calls for more personalized medicine efforts and stratifying patient populations early on for their need for different combinations of prognosis-specific therapeutics. We intend to highlight target hotspots and their potential agents, with the ultimate goal of using rational design of new therapeutics to not only end this pandemic but also uncover a generalizable platform for use in future pandemics.


Assuntos
COVID-19 , Humanos , COVID-19/epidemiologia , SARS-CoV-2 , Inteligência Artificial , Antivirais/farmacologia , Antivirais/uso terapêutico , Descoberta de Drogas
3.
J Biomol Struct Dyn ; 35(13): 2772-2788, 2017 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-27615678

RESUMO

Cytoplasmic tyrosyl-tRNA synthetase (TyrRS) is one of the key enzymes of protein biosynthesis. TyrRSs of pathogenic organisms have gained attention as potential targets for drug development. Identifying structural differences between various TyrRSs will facilitate the development of specific inhibitors for the TyrRSs of pathogenic organisms. However, there is a deficiency in structural data for mammalian cytoplasmic TyrRS in complexes with substrates. In this work, we constructed spatial structure of full-length Bos taurus TyrRS (BtTyrRS) and its complexes with substrates using the set of computational modeling techniques. Special attention was paid to BtTyrRS complexes with substrates [L-tyrosine, K+ and ATP:Mg2+] and intermediate products [tyrosyl-adenylate (Tyr-AMP), K+ and PPi:Mg2+] with the different catalytic loop conformations. In order to analyze their dynamical properties, we performed 100 ns of molecular dynamics (MD) simulations. MD simulations revealed new structural data concerning the tyrosine activation reaction in mammalian TyrRS. Formation of strong interaction between Lys154 and γ-phosphate suggests the additional role of CP1 insertion as an important factor for ATP binding. The presence of a potassium-binding pocket within the active site of mammalian TyrRS compensates the absence of the second lysine in the KMSKS motif. Our data provide new details concerning a role of K+ ions at different stages of the first step of the tyrosylation reaction, including the coordination of substrates and involvement in the PPi releasing. The results of this work suggest that differences between ATP-binding sites of mammalian and bacterial TyrRSs are meaningful and could be exploited in the drug design.


Assuntos
Citoplasma/metabolismo , Tirosina-tRNA Ligase/metabolismo , Tirosina/metabolismo , Monofosfato de Adenosina/análogos & derivados , Monofosfato de Adenosina/metabolismo , Trifosfato de Adenosina/metabolismo , Sequência de Aminoácidos , Animais , Domínio Catalítico/fisiologia , Bovinos , Simulação por Computador , Mamíferos/metabolismo , Simulação de Dinâmica Molecular , Especificidade por Substrato , Tirosina/análogos & derivados
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