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  1. Article ; Online: The pan-RAF-MEK non degrading molecular glue NST-628 is a potent and brain penetrant inhibitor of the RAS-MAPK pathway with activity across diverse RAS- and RAF-driven cancers.

    Ryan, Meagan B / Quade, Bradley / Schenk, Natasha / Fang, Zhong / Zingg, Marshall / Cohen, Steven E / Swalm, Brooke M / Li, Chun / Ozen, Aysegul / Ye, Chaoyang / Ritorto, Maria Stella / Huang, Xin / Dar, Arvin C / Han, Yongxin / Hoeflich, Klaus P / Hale, Michael / Hagel, Margit

    Cancer discovery

    2024  

    Abstract: Alterations in the RAS-MAPK signaling cascade are common across multiple solid tumor types and is a driver for many cancers. NST-628 is a potent pan-RAF-MEK molecular glue that prevents phosphorylation and activation of MEK by RAF, overcoming the ... ...

    Abstract Alterations in the RAS-MAPK signaling cascade are common across multiple solid tumor types and is a driver for many cancers. NST-628 is a potent pan-RAF-MEK molecular glue that prevents phosphorylation and activation of MEK by RAF, overcoming the limitations of traditional RAS-MAPK inhibitors and leading to deep durable inhibition of the pathway. Cellular, biochemical, and structural analysis of RAF-MEK complexes show that NST-628 engages all isoforms of RAFand prevents the formation of BRAF-CRAF heterodimers, a differentiated mechanism from all current RAF inhibitors. With a potent and durable inhibition of the RAF-MEK signaling complex as well as high intrinsic permeability into the brain, NST-628 demonstrates broad efficacy in cellular and patient-derived tumor models harboring diverse MAPK pathway alterations, including orthotopic intracranial models. Given its functional and pharmacokinetic mechanisms that are differentiated from previous therapies , NST-628 is positioned to make an impact clinically in an areas of unmet patient need.
    Language English
    Publishing date 2024-04-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2625242-9
    ISSN 2159-8290 ; 2159-8274
    ISSN (online) 2159-8290
    ISSN 2159-8274
    DOI 10.1158/2159-8290.CD-24-0139
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Resistance outside the substrate envelope: hepatitis C NS3/4A protease inhibitors.

    Özen, Ayşegül / Prachanronarong, Kristina / Matthew, Ashley N / Soumana, Djade I / Schiffer, Celia A

    Critical reviews in biochemistry and molecular biology

    2019  Volume 54, Issue 1, Page(s) 11–26

    Abstract: Direct acting antivirals have dramatically increased the efficacy and tolerability of hepatitis C treatment, but drug resistance has emerged with some of these inhibitors, including nonstructural protein 3/4 A protease inhibitors (PIs). Although many co- ... ...

    Abstract Direct acting antivirals have dramatically increased the efficacy and tolerability of hepatitis C treatment, but drug resistance has emerged with some of these inhibitors, including nonstructural protein 3/4 A protease inhibitors (PIs). Although many co-crystal structures of PIs with the NS3/4A protease have been reported, a systematic review of these crystal structures in the context of the rapidly emerging drug resistance especially for early PIs has not been performed. To provide a framework for designing better inhibitors with higher barriers to resistance, we performed a quantitative structural analysis using co-crystal structures and models of HCV NS3/4A protease in complex with natural substrates and inhibitors. By comparing substrate structural motifs and active site interactions with inhibitor recognition, we observed that the selection of drug resistance mutations correlates with how inhibitors deviate from viral substrates in molecular recognition. Based on this observation, we conclude that guiding the design process with native substrate recognition features is likely to lead to more robust small molecule inhibitors with decreased susceptibility to resistance.
    MeSH term(s) Animals ; Catalytic Domain/drug effects ; Drug Resistance, Viral ; Hepacivirus/drug effects ; Hepacivirus/metabolism ; Hepatitis C/drug therapy ; Hepatitis C/virology ; Humans ; Protease Inhibitors/chemistry ; Protease Inhibitors/pharmacology ; Protein Conformation/drug effects ; Serine Proteases/chemistry ; Serine Proteases/metabolism ; Viral Nonstructural Proteins/antagonists & inhibitors ; Viral Nonstructural Proteins/chemistry ; Viral Nonstructural Proteins/metabolism
    Chemical Substances Protease Inhibitors ; Viral Nonstructural Proteins ; NS3-4A serine protease, Hepatitis C virus (EC 3.4.-) ; Serine Proteases (EC 3.4.-)
    Language English
    Publishing date 2019-03-01
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Review
    ZDB-ID 1000977-2
    ISSN 1549-7798 ; 1381-3455 ; 1040-9238
    ISSN (online) 1549-7798
    ISSN 1381-3455 ; 1040-9238
    DOI 10.1080/10409238.2019.1568962
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Improving the Resistance Profile of Hepatitis C NS3/4A Inhibitors: Dynamic Substrate Envelope Guided Design.

    Ozen, Ayşegül / Sherman, Woody / Schiffer, Celia A

    Journal of chemical theory and computation

    2014  Volume 9, Issue 12, Page(s) 5693–5705

    Abstract: Drug resistance is a principal concern in the treatment of quickly evolving diseases. The viral protease NS3/4A is a primary drug target for the hepatitis C virus (HCV) and is known to evolve resistance mutations in response to drug therapy. At the ... ...

    Abstract Drug resistance is a principal concern in the treatment of quickly evolving diseases. The viral protease NS3/4A is a primary drug target for the hepatitis C virus (HCV) and is known to evolve resistance mutations in response to drug therapy. At the molecular level, drug resistance reflects a subtle change in the balance of molecular recognition by NS3/4A; the drug resistant protease variants are no longer effectively inhibited by the competitive active site inhibitors but can still process the natural substrates with enough efficiency for viral survival. In previous works we have developed the "substrate envelope" hypothesis, which posits that inhibitors should be less susceptible to drug resistance if they better mimic the natural substrate molecular recognition features. In this work, we perform molecular dynamics simulations on four native substrates bound to NS3/4A and discover a clearly conserved dynamic substrate envelope. We show that the most severe drug resistance mutations in NS3/4A occur at residues that are outside the substrate envelope. Comparative analysis of three NS3/4A inhibitors reveals structural and dynamic characteristics of inhibitors that could lead to resistance. We also suggest inhibitor modifications to improve resistance profiles based on the dynamic substrate envelope. This study provides a general framework for guiding the development of novel inhibitors that will be more robust against resistance by mimicking the static and dynamic binding characteristics of natural substrates.
    Language English
    Publishing date 2014-01-23
    Publishing country United States
    Document type Journal Article
    ISSN 1549-9626
    ISSN (online) 1549-9626
    DOI 10.1021/ct400603p
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Drug-resistant HIV-1 protease regains functional dynamics through cleavage site coevolution.

    Özer, Nevra / Özen, Ayşegül / Schiffer, Celia A / Haliloğlu, Türkan

    Evolutionary applications

    2015  Volume 8, Issue 2, Page(s) 185–198

    Abstract: Drug resistance is caused by mutations that change the balance of recognition favoring substrate cleavage over inhibitor binding. Here, a structural dynamics perspective of the regained wild-type functioning in mutant HIV-1 proteases with coevolution of ... ...

    Abstract Drug resistance is caused by mutations that change the balance of recognition favoring substrate cleavage over inhibitor binding. Here, a structural dynamics perspective of the regained wild-type functioning in mutant HIV-1 proteases with coevolution of the natural substrates is provided. The collective dynamics of mutant structures of the protease bound to p1-p6 and NC-p1 substrates are assessed using the Anisotropic Network Model (ANM). The drug-induced protease mutations perturb the mechanistically crucial hinge axes that involve key sites for substrate binding and dimerization and mainly coordinate the intrinsic dynamics. Yet with substrate coevolution, while the wild-type dynamic behavior is restored in both p1-p6 ((LP) (1'F)p1-p6D30N/N88D) and NC-p1 ((AP) (2) (V)NC-p1V82A) bound proteases, the dynamic behavior of the NC-p1 bound protease variants (NC-p1V82A and (AP) (2) (V)NC-p1V82A) rather resemble those of the proteases bound to the other substrates, which is consistent with experimental studies. The orientational variations of residue fluctuations along the hinge axes in mutant structures justify the existence of coevolution in p1-p6 and NC-p1 substrates, that is, the dynamic behavior of hinge residues should contribute to the interdependent nature of substrate recognition. Overall, this study aids in the understanding of the structural dynamics basis of drug resistance and evolutionary optimization in the HIV-1 protease system.
    Language English
    Publishing date 2015-01-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 2405496-3
    ISSN 1752-4563 ; 1752-4571
    ISSN (online) 1752-4563
    ISSN 1752-4571
    DOI 10.1111/eva.12241
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: HIV-1 Protease and Substrate Coevolution Validates the Substrate Envelope As the Substrate Recognition Pattern.

    Ozen, Ayşegül / Haliloğlu, Türkan / Schiffer, Celia A

    Journal of chemical theory and computation

    2013  Volume 8, Issue 2

    Abstract: Drug resistance of HIV-1 protease alters the balance in the molecular recognition events in favor of substrate processing versus inhibitor binding. To develop robust inhibitors targeting ensembles of drug-resistant variants, the code of this balance ... ...

    Abstract Drug resistance of HIV-1 protease alters the balance in the molecular recognition events in favor of substrate processing versus inhibitor binding. To develop robust inhibitors targeting ensembles of drug-resistant variants, the code of this balance needs to be cracked. For this purpose, the principles governing the substrate recognition are required to be revealed. Previous crystallographic studies on the WT protease-substrate complexes showed that the substrates have a conserved consensus volume in the protease active site despite their low sequence homology. This consensus volume is termed as the substrate envelope. The substrate envelope was recently reevaluated by taking the substrate dynamics into account, and the dynamic substrate envelope was reported to better define the substrate specificity for HIV-1 protease. Drug resistance occurs mostly through mutations in the protease, occasionally accompanied by cleavage site mutations. In this study, three coevolved protease-substrate complexes (
    Language English
    Publishing date 2013-12-03
    Publishing country United States
    Document type Journal Article
    ISSN 1549-9626
    ISSN (online) 1549-9626
    DOI 10.1021/ct200668a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Selectively Modulating Conformational States of USP7 Catalytic Domain for Activation.

    Özen, Ayşegül / Rougé, Lionel / Bashore, Charlene / Hearn, Brian R / Skelton, Nicholas J / Dueber, Erin C

    Structure (London, England : 1993)

    2017  Volume 26, Issue 1, Page(s) 72–84.e7

    Abstract: Ubiquitin-specific protease 7 (USP7) deubiquitinase activity is controlled by a number of regulatory factors, including stimulation by intramolecular accessory domains. Alone, the USP7 catalytic domain (USP7cd) shows limited activity and apo USP7cd ... ...

    Abstract Ubiquitin-specific protease 7 (USP7) deubiquitinase activity is controlled by a number of regulatory factors, including stimulation by intramolecular accessory domains. Alone, the USP7 catalytic domain (USP7cd) shows limited activity and apo USP7cd crystal structures reveal a disrupted catalytic triad. By contrast, ubiquitin-conjugated USP7cd structures demonstrate the canonical cysteine protease active-site geometry; however, the structural features of the USP7cd that stabilize the inactive conformation and the mechanism of transition between inactive and active states remain unclear. Here we use comparative structural analyses, molecular dynamics simulations, and in silico sequence re-engineering via directed sampling by RosettaDesign to identify key molecular determinants of USP7cd activation and successfully engineer USP7cd for improved activity. Full kinetic analysis and multiple X-ray crystal structures of our designs indicate that electrostatic interactions in the distal "switching loop" region and local packing in the hydrophobic core mediate subtle but significant conformational changes that modulate USP7cd activation.
    MeSH term(s) Amino Acid Sequence ; Amino Acid Substitution ; Catalytic Domain ; Cloning, Molecular ; Crystallography, X-Ray ; Enzyme Activation ; Enzyme Inhibitors/chemical synthesis ; Enzyme Inhibitors/chemistry ; Escherichia coli/genetics ; Escherichia coli/metabolism ; Gene Expression ; Genetic Vectors/chemistry ; Genetic Vectors/metabolism ; Humans ; Hydrophobic and Hydrophilic Interactions ; Kinetics ; Molecular Dynamics Simulation ; Mutation ; Peptidomimetics/chemical synthesis ; Peptidomimetics/chemistry ; Protein Binding ; Protein Conformation, alpha-Helical ; Protein Conformation, beta-Strand ; Protein Interaction Domains and Motifs ; Recombinant Proteins/chemistry ; Recombinant Proteins/genetics ; Recombinant Proteins/metabolism ; Static Electricity ; Substrate Specificity ; Thermodynamics ; Ubiquitin-Specific Peptidase 7/antagonists & inhibitors ; Ubiquitin-Specific Peptidase 7/chemistry ; Ubiquitin-Specific Peptidase 7/genetics ; Ubiquitin-Specific Peptidase 7/metabolism
    Chemical Substances Enzyme Inhibitors ; Peptidomimetics ; Recombinant Proteins ; USP7 protein, human (EC 3.4.19.12) ; Ubiquitin-Specific Peptidase 7 (EC 3.4.19.12)
    Language English
    Publishing date 2017-12-14
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1213087-4
    ISSN 1878-4186 ; 0969-2126
    ISSN (online) 1878-4186
    ISSN 0969-2126
    DOI 10.1016/j.str.2017.11.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: HIV-1 protease-substrate coevolution in nelfinavir resistance.

    Kolli, Madhavi / Ozen, Ayşegül / Kurt-Yilmaz, Nese / Schiffer, Celia A

    Journal of virology

    2014  Volume 88, Issue 13, Page(s) 7145–7154

    Abstract: Unlabelled: Resistance to various human immunodeficiency virus type 1 (HIV-1) protease inhibitors (PIs) challenges the effectiveness of therapies in treating HIV-1-infected individuals and AIDS patients. The virus accumulates mutations within the ... ...

    Abstract Unlabelled: Resistance to various human immunodeficiency virus type 1 (HIV-1) protease inhibitors (PIs) challenges the effectiveness of therapies in treating HIV-1-infected individuals and AIDS patients. The virus accumulates mutations within the protease (PR) that render the PIs less potent. Occasionally, Gag sequences also coevolve with mutations at PR cleavage sites contributing to drug resistance. In this study, we investigated the structural basis of coevolution of the p1-p6 cleavage site with the nelfinavir (NFV) resistance D30N/N88D protease mutations by determining crystal structures of wild-type and NFV-resistant HIV-1 protease in complex with p1-p6 substrate peptide variants with L449F and/or S451N. Alterations of residue 30's interaction with the substrate are compensated by the coevolving L449F and S451N cleavage site mutations. This interdependency in the PR-p1-p6 interactions enhances intermolecular contacts and reinforces the overall fit of the substrate within the substrate envelope, likely enabling coevolution to sustain substrate recognition and cleavage in the presence of PR resistance mutations.
    Importance: Resistance to human immunodeficiency virus type 1 (HIV-1) protease inhibitors challenges the effectiveness of therapies in treating HIV-1-infected individuals and AIDS patients. Mutations in HIV-1 protease selected under the pressure of protease inhibitors render the inhibitors less potent. Occasionally, Gag sequences also mutate and coevolve with protease, contributing to maintenance of viral fitness and to drug resistance. In this study, we investigated the structural basis of coevolution at the Gag p1-p6 cleavage site with the nelfinavir (NFV) resistance D30N/N88D protease mutations. Our structural analysis reveals the interdependency of protease-substrate interactions and how coevolution may restore substrate recognition and cleavage in the presence of protease drug resistance mutations.
    MeSH term(s) Crystallography, X-Ray ; Drug Resistance, Viral ; Evolution, Molecular ; HIV Infections/drug therapy ; HIV Infections/enzymology ; HIV Infections/virology ; HIV Protease/chemistry ; HIV Protease/genetics ; HIV Protease/metabolism ; HIV Protease Inhibitors/pharmacology ; HIV-1/drug effects ; HIV-1/enzymology ; Humans ; Models, Molecular ; Nelfinavir/pharmacology ; Peptide Fragments ; Protein Conformation ; Substrate Specificity ; gag Gene Products, Human Immunodeficiency Virus/chemistry ; gag Gene Products, Human Immunodeficiency Virus/genetics ; gag Gene Products, Human Immunodeficiency Virus/metabolism
    Chemical Substances HIV Protease Inhibitors ; Peptide Fragments ; gag Gene Products, Human Immunodeficiency Virus ; gag protein p1, Human immunodeficiency virus ; p6 gag protein, Human immunodeficiency virus 1 ; HIV Protease (EC 3.4.23.-) ; Nelfinavir (HO3OGH5D7I)
    Language English
    Publishing date 2014-04-09
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 80174-4
    ISSN 1098-5514 ; 0022-538X
    ISSN (online) 1098-5514
    ISSN 0022-538X
    DOI 10.1128/JVI.00266-14
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Structural basis and distal effects of Gag substrate coevolution in drug resistance to HIV-1 protease.

    Özen, Ayşegül / Lin, Kuan-Hung / Kurt Yilmaz, Nese / Schiffer, Celia A

    Proceedings of the National Academy of Sciences of the United States of America

    2014  Volume 111, Issue 45, Page(s) 15993–15998

    Abstract: Drug resistance mutations in response to HIV-1 protease inhibitors are selected not only in the drug target but elsewhere in the viral genome, especially at the protease cleavage sites in the precursor protein Gag. To understand the molecular basis of ... ...

    Abstract Drug resistance mutations in response to HIV-1 protease inhibitors are selected not only in the drug target but elsewhere in the viral genome, especially at the protease cleavage sites in the precursor protein Gag. To understand the molecular basis of this protease-substrate coevolution, we solved the crystal structures of drug resistant I50V/A71V HIV-1 protease with p1-p6 substrates bearing coevolved mutations. Analyses of the protease-substrate interactions reveal that compensatory coevolved mutations in the substrate do not restore interactions lost due to protease mutations, but instead establish other interactions that are not restricted to the site of mutation. Mutation of a substrate residue has distal effects on other residues' interactions as well, including through the induction of a conformational change in the protease. Additionally, molecular dynamics simulations suggest that restoration of active site dynamics is an additional constraint in the selection of coevolved mutations. Hence, protease-substrate coevolution permits mutational, structural, and dynamic changes via molecular mechanisms that involve distal effects contributing to drug resistance.
    MeSH term(s) Amino Acid Substitution ; Crystallography, X-Ray ; Drug Resistance, Viral/genetics ; Evolution, Molecular ; HIV Protease/genetics ; HIV Protease/metabolism ; HIV-1/genetics ; HIV-1/metabolism ; Humans ; Mutation, Missense ; gag Gene Products, Human Immunodeficiency Virus/genetics ; gag Gene Products, Human Immunodeficiency Virus/metabolism
    Chemical Substances gag Gene Products, Human Immunodeficiency Virus ; HIV Protease (EC 3.4.23.-) ; p16 protease, Human immunodeficiency virus 1 (EC 3.4.23.-)
    Language English
    Publishing date 2014-10-29
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.1414063111
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Machine learning integration for predicting the effect of single amino acid substitutions on protein stability

    Haliloğlu Türkan / Alpaydın Ethem / Gönen Mehmet / Özen Ayşegül

    BMC Structural Biology, Vol 9, Iss 1, p

    2009  Volume 66

    Abstract: Abstract Background Computational prediction of protein stability change due to single-site amino acid substitutions is of interest in protein design and analysis. We consider the following four ways to improve the performance of the currently available ... ...

    Abstract Abstract Background Computational prediction of protein stability change due to single-site amino acid substitutions is of interest in protein design and analysis. We consider the following four ways to improve the performance of the currently available predictors: (1) We include additional sequence- and structure-based features, namely, the amino acid substitution likelihoods, the equilibrium fluctuations of the alpha- and beta-carbon atoms, and the packing density. (2) By implementing different machine learning integration approaches, we combine information from different features or representations. (3) We compare classification vs. regression methods to predict the sign vs. the output of stability change. (4) We allow a reject option for doubtful cases where the risk of misclassification is high. Results We investigate three different approaches: early, intermediate and late integration, which respectively combine features, kernels over feature subsets, and decisions. We perform simulations on two data sets: (1) S1615 is used in previous studies, (2) S2783 is the updated version (as of July 2, 2009) extracted also from ProTherm. For S1615 data set, our highest accuracy using both sequence and structure information is 0.842 on cross-validation and 0.904 on testing using early integration. Newly added features, namely, local compositional packing and the mobility extent of the mutated residues, improve accuracy significantly with intermediate integration. For S2783 data set, we also train regression methods to estimate not only the sign but also the amount of stability change and apply risk-based classification to reject when the learner has low confidence and the loss of misclassification is high. The highest accuracy is 0.835 on cross-validation and 0.832 on testing using only sequence information. The percentage of false positives can be decreased to less than 0.005 by rejecting 10 per cent using late integration. Conclusion We find that in both early and late integration, combining inputs or decisions is useful in increasing accuracy. Intermediate integration allows assessing the contributions of individual features by looking at the assigned weights. Overall accuracy of regression is not better than that of classification but it has less false positives, especially when combined with the reject option. The server for stability prediction for three integration approaches and the data sets are available at http://www.prc.boun.edu.tr/appserv/prc/mlsta .
    Keywords Biology (General) ; QH301-705.5
    Subject code 004
    Language English
    Publishing date 2009-10-01T00:00:00Z
    Publisher BioMed Central
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: Dynamics of Preferential Substrate Recognition in HIV-1 Protease: Redefining the Substrate Envelope

    Özen, Ayşegül / Haliloğlu, Türkan / Schiffer, Celia A

    Journal of molecular biology. 2011 July 22, v. 410, no. 4

    2011  

    Abstract: Human immunodeficiency virus type 1 (HIV-1) protease (PR) permits viral maturation by processing the gag and gag-pro-pol polyproteins. HIV-1 PR inhibitors (PIs) are used in combination antiviral therapy but the emergence of drug resistance has limited ... ...

    Abstract Human immunodeficiency virus type 1 (HIV-1) protease (PR) permits viral maturation by processing the gag and gag-pro-pol polyproteins. HIV-1 PR inhibitors (PIs) are used in combination antiviral therapy but the emergence of drug resistance has limited their efficacy. The rapid evolution of HIV-1 necessitates consideration of drug resistance in novel drug design. Drug-resistant HIV-1 PR variants no longer inhibited efficiently, continue to hydrolyze the natural viral substrates. Though highly diverse in sequence, the HIV-1 PR substrates bind in a conserved three-dimensional shape we termed the substrate envelope. Earlier, we showed that resistance mutations arise where PIs protrude beyond the substrate envelope, because these regions are crucial for drug binding but not for substrate recognition. We extend this model by considering the role of protein dynamics in the interaction of HIV-1 PR with its substrates. We simulated the molecular dynamics of seven PR-substrate complexes to estimate the conformational flexibility of the bound substrates. Interdependence of substrate–protease interactions might compensate for variations in cleavage-site sequences and explain how a diverse set of sequences are recognized as substrates by the same enzyme. This diversity might be essential for regulating sequential processing of substrates. We define a dynamic substrate envelope as a more accurate representation of PR–substrate interactions. This dynamic substrate envelope, described by a probability distribution function, is a powerful tool for drug design efforts targeting ensembles of resistant HIV-1 PR variants with the aim of developing drugs that are less susceptible to resistance.
    Keywords Human immunodeficiency virus 1 ; drug resistance ; drugs ; evolution ; models ; molecular dynamics ; mutation ; probability distribution ; proteinases ; therapeutics
    Language English
    Dates of publication 2011-0722
    Size p. 726-744.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 80229-3
    ISSN 1089-8638 ; 0022-2836
    ISSN (online) 1089-8638
    ISSN 0022-2836
    DOI 10.1016/j.jmb.2011.03.053
    Database NAL-Catalogue (AGRICOLA)

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