Study on functional sites in human multidrug resistance protein 1 (hMRP1)

Human multidrug resistance protein 1 (hMRP1) is an important member of the ATP‐binding cassette (ABC) transporter superfamily. It can extrude a variety of anticancer drugs and physiological organic anions across the plasma membrane, which is activated by substrate binding, and is accompanied by larg...

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Veröffentlicht in:Proteins, structure, function, and bioinformatics structure, function, and bioinformatics, 2021-06, Vol.89 (6), p.659-670
Hauptverfasser: He, Junmei, Han, Zhongjie, Farooq, Qurat ul Ain, Li, Chunhua
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Han, Zhongjie
Farooq, Qurat ul Ain
Li, Chunhua
description Human multidrug resistance protein 1 (hMRP1) is an important member of the ATP‐binding cassette (ABC) transporter superfamily. It can extrude a variety of anticancer drugs and physiological organic anions across the plasma membrane, which is activated by substrate binding, and is accompanied by large‐scale cooperative movements between different domains. Currently, it remains unclear completely about how the specific interactions between hMRP1 and its substrate are and which critical residues are responsible for allosteric signal transduction. To the end, we first construct an inward‐facing state of hMRP1 using homology modeling method, and then dock substrate proinflammatory agent leukotriene C4 (LTC4) to hMRP1 pocket. The result manifests LTC4 interacts with two parts of hMRP1 pocket, namely the positively charged pocket (P pocket) and hydrophobic pocket (H pocket), similar to its binding mode with bMRP1 (bovine MRP1). Additionally, we use the Gaussian network model (GNM)‐based thermodynamic method proposed by us to identify the key residues whose perturbations markedly alter their binding free energy. Here the conventional GNM is improved with covalent/non‐covalent interactions and secondary structure information considered (denoted as sscGNM). In the result, sscGNM improves the flexibility prediction, especially for the nucleotide binding domains with rich kinds of secondary structures. The 46 key residue clusters located in different subdomains are identified which are highly consistent with experimental observations. Furtherly, we explore the long‐range cooperation within the transporter. This study is helpful for strengthening the understanding of the work mechanism in ABC exporters and can provide important information to scientists in drug design studies.
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Here the conventional GNM is improved with covalent/non‐covalent interactions and secondary structure information considered (denoted as sscGNM). In the result, sscGNM improves the flexibility prediction, especially for the nucleotide binding domains with rich kinds of secondary structures. The 46 key residue clusters located in different subdomains are identified which are highly consistent with experimental observations. Furtherly, we explore the long‐range cooperation within the transporter. 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It can extrude a variety of anticancer drugs and physiological organic anions across the plasma membrane, which is activated by substrate binding, and is accompanied by large‐scale cooperative movements between different domains. Currently, it remains unclear completely about how the specific interactions between hMRP1 and its substrate are and which critical residues are responsible for allosteric signal transduction. To the end, we first construct an inward‐facing state of hMRP1 using homology modeling method, and then dock substrate proinflammatory agent leukotriene C4 (LTC4) to hMRP1 pocket. The result manifests LTC4 interacts with two parts of hMRP1 pocket, namely the positively charged pocket (P pocket) and hydrophobic pocket (H pocket), similar to its binding mode with bMRP1 (bovine MRP1). Additionally, we use the Gaussian network model (GNM)‐based thermodynamic method proposed by us to identify the key residues whose perturbations markedly alter their binding free energy. Here the conventional GNM is improved with covalent/non‐covalent interactions and secondary structure information considered (denoted as sscGNM). In the result, sscGNM improves the flexibility prediction, especially for the nucleotide binding domains with rich kinds of secondary structures. The 46 key residue clusters located in different subdomains are identified which are highly consistent with experimental observations. Furtherly, we explore the long‐range cooperation within the transporter. This study is helpful for strengthening the understanding of the work mechanism in ABC exporters and can provide important information to scientists in drug design studies.</abstract><cop>Hoboken, USA</cop><pub>John Wiley &amp; Sons, Inc</pub><pmid>33469960</pmid><doi>10.1002/prot.26049</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-5354-6109</orcidid></addata></record>
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subjects Adenosine triphosphate
Adenosine Triphosphate - chemistry
Adenosine Triphosphate - metabolism
Allosteric properties
Allosteric Site
Animals
Anions
Antineoplastic drugs
Antitumor agents
Binding
binding mode
Cattle
Domains
Drug development
Drug resistance
Free energy
Gaussian network model
hMRP1
Homology
Humans
Hydrophobic and Hydrophilic Interactions
Hydrophobicity
Inflammation
key residues
Kinetics
Leukotriene C4 - chemistry
Leukotriene C4 - metabolism
Molecular Docking Simulation
Multidrug resistance
Multidrug Resistance-Associated Proteins - chemistry
Multidrug Resistance-Associated Proteins - metabolism
Multidrug resistant organisms
Nucleotides
Perturbation
Protein Binding
Protein Conformation, alpha-Helical
Protein Conformation, beta-Strand
Protein Interaction Domains and Motifs
Protein Isoforms - chemistry
Protein Isoforms - metabolism
Protein structure
Proteins
Residues
Secondary structure
Signal Transduction
Static Electricity
Structural Homology, Protein
Substrate Specificity
Substrates
thermodynamic cycle
Thermodynamics
title Study on functional sites in human multidrug resistance protein 1 (hMRP1)
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