Critical Residues in HSP70 Nucleotide Binding Domain for Challenges in Drug Design

IF 0.5 4区 生物学 Q4 BIOCHEMICAL RESEARCH METHODS
Mustafa Ergul, F. Aktan, Yusuf Tutar
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引用次数: 0

Abstract

The association of a drug with its target protein correlates to its medicinal activity and the microenvironment plays a key role in this association. The key challenge is to identify mutations which unlikely to respond to designed drugs. Hsp70 is an anti-apoptotic factor and tumor cells overexpress Hsp70 to survive against anti-cancer agents. The impact of pathogenic mutations on Hsp70 is unknown. Elucidation of these alterations is essential to understand the molecular switch mechanism. Thus, critical spots on Hsp70 Nucleotide Binding Domain (NBD) are important since mutation-driven sensitivity may be useful in designing innovative inhibitors. ATP, AMP-PNP (non-hydrolyzable analog of ATP) along with commercially available compounds VER-155008 (ATP analog and competitive inhibitor) and MKT-077 (allosteric inhibitor of ADP bound form) were docked to Hsp70 NBD structure in silico to identify critical amino acids of inhibition mechanism. Site-directed mutagenesis of the determined critical residues along with ATP hydrolysis and luciferase refolding were performed. Wild-type and mutant Hsp70s were compared to determine the effect on protein functions in the presence or the absence of inhibitors. This study identified three mutants that have a loss of function for Hsp70, which may alter the drug inhibition activity as oncogenic cells have multiple mutations. Two commercial inhibitors employed here that mimic ATP and ADP states respectively are not affected by these mutational perturbations and displayed effective interference for Hsp70 functions. Designing inhibitors by considering these critical residues may improve drug design and increase drug efficiency.
HSP70核苷酸结合域的关键残基对药物设计的挑战
药物与其靶蛋白的关联与其药物活性相关,微环境在这种关联中起着关键作用。关键的挑战是确定不太可能对设计的药物产生反应的突变。Hsp70是一种抗凋亡因子,肿瘤细胞通过过度表达Hsp70来对抗抗癌药物而存活。致病性突变对Hsp70的影响尚不清楚。阐明这些改变对于理解分子开关机制至关重要。因此,Hsp70核苷酸结合域(NBD)上的关键位点是重要的,因为突变驱动的敏感性可能有助于设计创新的抑制剂。将ATP、AMP-PNP (ATP的非水解类似物)以及市售化合物VER-155008 (ATP类似物和竞争性抑制剂)和MKT-077 (ADP结合形式的变构抑制剂)通过硅对接到Hsp70 NBD结构上,以确定抑制机制的关键氨基酸。对确定的关键残基进行定点诱变,并进行ATP水解和荧光素酶重折叠。比较野生型和突变型hsp70,以确定存在或不存在抑制剂时对蛋白质功能的影响。本研究确定了三种Hsp70功能缺失的突变体,这可能会改变药物抑制活性,因为致癌细胞具有多重突变。本文采用的两种商业抑制剂分别模拟ATP和ADP状态,它们不受这些突变扰动的影响,并对Hsp70功能表现出有效的干扰。通过考虑这些关键残留物来设计抑制剂可以改进药物设计并提高药物效率。
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来源期刊
Current Proteomics
Current Proteomics BIOCHEMICAL RESEARCH METHODS-BIOCHEMISTRY & MOLECULAR BIOLOGY
CiteScore
1.60
自引率
0.00%
发文量
25
审稿时长
>0 weeks
期刊介绍: Research in the emerging field of proteomics is growing at an extremely rapid rate. The principal aim of Current Proteomics is to publish well-timed in-depth/mini review articles in this fast-expanding area on topics relevant and significant to the development of proteomics. Current Proteomics is an essential journal for everyone involved in proteomics and related fields in both academia and industry. Current Proteomics publishes in-depth/mini review articles in all aspects of the fast-expanding field of proteomics. All areas of proteomics are covered together with the methodology, software, databases, technological advances and applications of proteomics, including functional proteomics. Diverse technologies covered include but are not limited to: Protein separation and characterization techniques 2-D gel electrophoresis and image analysis Techniques for protein expression profiling including mass spectrometry-based methods and algorithms for correlative database searching Determination of co-translational and post- translational modification of proteins Protein/peptide microarrays Biomolecular interaction analysis Analysis of protein complexes Yeast two-hybrid projects Protein-protein interaction (protein interactome) pathways and cell signaling networks Systems biology Proteome informatics (bioinformatics) Knowledge integration and management tools High-throughput protein structural studies (using mass spectrometry, nuclear magnetic resonance and X-ray crystallography) High-throughput computational methods for protein 3-D structure as well as function determination Robotics, nanotechnology, and microfluidics.
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