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Dietz J, Kalinina OV, Vermehren J, Peiffer KH, Matschenz K, Buggisch P, Niederau C, Schattenberg JM, Müllhaupt B, Yerly S, Ringelhan M, Schmid RM, Antoni C, Müller T, Schulze Zur Wiesch J, Piecha F, Moradpour D, Deterding K, Wedemeyer H, Moreno C, Berg T, Berg CP, Zeuzem S, Welsch C, Sarrazin C. Resistance-associated substitutions in patients with chronic hepatitis C virus genotype 4 infection. J Viral Hepat 2020; 27:974-986. [PMID: 32396998 DOI: 10.1111/jvh.13322] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 03/20/2020] [Accepted: 04/07/2020] [Indexed: 12/13/2022]
Abstract
Data on the prevalence of resistance-associated substitutions (RASs) and their implications for treatment with direct-acting antivirals (DAAs) are sparse in European patients with HCV genotype 4. This study investigated RASs before and after DAA failure in different genotype 4 subtypes and evaluated retreatment efficacies. Samples of 195 genotype 4-infected patients were collected in the European Resistance Database and investigated for NS3, NS5A and NS5B RASs. Retreatment efficacies in DAA failure patients were analysed retrospectively. After NS5A inhibitor (NS5Ai) failure, subtype 4r was frequent (30%) compared to DAA-naïve patients (5%) and the number of NS5A RASs was significantly higher in subtype 4r compared to 4a or 4d (median three RASs vs no or one RAS, respectively, P < .0001). RASsL28V, L30R and M31L pre-existed in subtype 4r and were maintained after NS5Ai failure. Typical subtype 4r RASs were located in subdomain 1a of NS5A, close to membrane interaction and protein-protein interaction sites that are responsible for multimerization and hence viral replication. Retreatment of 37 DAA failure patients was highly effective with 100% SVR in prior SOF/RBV, PI/SOF and PI/NS5Ai failures. Secondary virologic failures were rare (n = 2; subtype 4d and 4r) and only observed in prior NS5Ai/SOF failures (SVR 90%). In conclusion, subtype 4r harboured considerably more RASs compared to other subtypes. A resistance-tailored retreatment using first- and second-generation DAAs was highly effective with SVR rates ≥90% across all subtypes and first-line treatment regimens.
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Affiliation(s)
- Julia Dietz
- Department of Internal 1, University Hospital, Goethe University, Frankfurt, Germany.,German Center for Infection Research (DZIF), External Partner Site, Frankfurt, Germany
| | - Olga V Kalinina
- Helmholtz Centre for Infection Research (HZI), Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Saarbrücken, Germany.,Medical Faculty, Saarland University, Homburg, Germany
| | - Johannes Vermehren
- Department of Internal 1, University Hospital, Goethe University, Frankfurt, Germany.,German Center for Infection Research (DZIF), External Partner Site, Frankfurt, Germany
| | - Kai-Henrik Peiffer
- Department of Internal 1, University Hospital, Goethe University, Frankfurt, Germany.,German Center for Infection Research (DZIF), External Partner Site, Frankfurt, Germany
| | | | - Peter Buggisch
- Institute for Interdisciplinary Medicine IFI, Hamburg, Germany
| | - Claus Niederau
- St. Josef-Hospital, Katholisches Klinikum Oberhausen, Oberhausen, Germany
| | - Jörn M Schattenberg
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Beat Müllhaupt
- Swiss Hepato-Pancreato-Biliary Center and Department of Gastroenterology and Hepatology, University Hospital Zürich, Zürich, Switzerland
| | - Sabine Yerly
- Laboratory of Virology, University Hospital Geneva, University of Geneva, Geneva, Switzerland
| | - Marc Ringelhan
- Department of Internal Medicine II, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Roland M Schmid
- Department of Internal Medicine II, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Christoph Antoni
- Department of Medicine II, Heidelberg University Hospital at Mannheim, Mannheim, Germany
| | - Tobias Müller
- Department of Hepatology and Gastroenterology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Julian Schulze Zur Wiesch
- Department of Internal Medicine I, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,German Center for Infection Research (DZIF), Partner Site, Hamburg-Lübeck-Borstel-Riems, Hamburg, Germany
| | - Felix Piecha
- Department of Internal Medicine I, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Darius Moradpour
- Division of Gastroenterology and Hepatology, University Hospital Lausanne, Lausanne, Switzerland
| | - Katja Deterding
- Department of Gastroenterology and Hepatology, University Hospital Essen, Essen, Germany.,Department of Gastroenterology, Hepatology and Endocrinology, Medizinische Hochschule Hannover, Hannover, Germany.,German Center for Infection Research (DZIF), Partner Site, Hannover-Braunschweig, Hannover, Germany
| | - Heiner Wedemeyer
- Department of Gastroenterology and Hepatology, University Hospital Essen, Essen, Germany.,Department of Gastroenterology, Hepatology and Endocrinology, Medizinische Hochschule Hannover, Hannover, Germany.,German Center for Infection Research (DZIF), Partner Site, Hannover-Braunschweig, Hannover, Germany
| | - Christophe Moreno
- Department of Gastroenterology, Hepatopancreatology and Digestive Oncology, CUB Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium
| | - Thomas Berg
- Department of Gastroenterology and Rheumatology, University Hospital Leipzig, Leipzig, Germany
| | - Christoph P Berg
- Department of Internal Medicine I, University of Tübingen, Tübingen, Germany
| | - Stefan Zeuzem
- Department of Internal 1, University Hospital, Goethe University, Frankfurt, Germany.,German Center for Infection Research (DZIF), External Partner Site, Frankfurt, Germany
| | - Christoph Welsch
- Department of Internal 1, University Hospital, Goethe University, Frankfurt, Germany.,German Center for Infection Research (DZIF), External Partner Site, Frankfurt, Germany
| | - Christoph Sarrazin
- Department of Internal 1, University Hospital, Goethe University, Frankfurt, Germany.,German Center for Infection Research (DZIF), External Partner Site, Frankfurt, Germany.,St. Josefs-Hospital, Medizinische Klinik II, Wiesbaden, Germany
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2
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Khwaja A, Galilee M, Marx A, Alian A. Structure of FIV capsid C-terminal domain demonstrates lentiviral evasion of genetic fragility by coevolved substitutions. Sci Rep 2016; 6:24957. [PMID: 27102180 PMCID: PMC4840305 DOI: 10.1038/srep24957] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Accepted: 04/08/2016] [Indexed: 12/22/2022] Open
Abstract
Viruses use a strategy of high mutational rates to adapt to environmental and therapeutic pressures, circumventing the deleterious effects of random single-point mutations by coevolved compensatory mutations, which restore protein fold, function or interactions damaged by initial ones. This mechanism has been identified as contributing to drug resistance in the HIV-1 Gag polyprotein and especially its capsid proteolytic product, which forms the viral capsid core and plays multifaceted roles in the viral life cycle. Here, we determined the X-ray crystal structure of C-terminal domain of the feline immunodeficiency virus (FIV) capsid and through interspecies analysis elucidate the structural basis of co-evolutionarily and spatially correlated substitutions in capsid sequences, which when otherwise uncoupled and individually substituted into HIV-1 capsid impair virion assembly and infectivity. The ability to circumvent the deleterious effects of single amino acid substitutions by cooperative secondary substitutions allows mutational flexibility that may afford viruses an important survival advantage. The potential of such interspecies structural analysis for preempting viral resistance by identifying such alternative but functionally equivalent patterns is discussed.
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Affiliation(s)
- Aya Khwaja
- Faculty of Biology, Technion - Israel Institute of Technology, Haifa 320003, Israel
| | - Meytal Galilee
- Faculty of Biology, Technion - Israel Institute of Technology, Haifa 320003, Israel
| | - Ailie Marx
- Faculty of Biology, Technion - Israel Institute of Technology, Haifa 320003, Israel
| | - Akram Alian
- Faculty of Biology, Technion - Israel Institute of Technology, Haifa 320003, Israel
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3
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Flynn WF, Chang MW, Tan Z, Oliveira G, Yuan J, Okulicz JF, Torbett BE, Levy RM. Deep sequencing of protease inhibitor resistant HIV patient isolates reveals patterns of correlated mutations in Gag and protease. PLoS Comput Biol 2015; 11:e1004249. [PMID: 25894830 PMCID: PMC4404092 DOI: 10.1371/journal.pcbi.1004249] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2014] [Accepted: 03/19/2015] [Indexed: 11/18/2022] Open
Abstract
While the role of drug resistance mutations in HIV protease has been studied comprehensively, mutations in its substrate, Gag, have not been extensively cataloged. Using deep sequencing, we analyzed a unique collection of longitudinal viral samples from 93 patients who have been treated with therapies containing protease inhibitors (PIs). Due to the high sequence coverage within each sample, the frequencies of mutations at individual positions were calculated with high precision. We used this information to characterize the variability in the Gag polyprotein and its effects on PI-therapy outcomes. To examine covariation of mutations between two different sites using deep sequencing data, we developed an approach to estimate the tight bounds on the two-site bivariate probabilities in each viral sample, and the mutual information between pairs of positions based on all the bounds. Utilizing the new methodology we found that mutations in the matrix and p6 proteins contribute to continued therapy failure and have a major role in the network of strongly correlated mutations in the Gag polyprotein, as well as between Gag and protease. Although covariation is not direct evidence of structural propensities, we found the strongest correlations between residues on capsid and matrix of the same Gag protein were often due to structural proximity. This suggests that some of the strongest inter-protein Gag correlations are the result of structural proximity. Moreover, the strong covariation between residues in matrix and capsid at the N-terminus with p1 and p6 at the C-terminus is consistent with residue-residue contacts between these proteins at some point in the viral life cycle. Understanding the structure of HIV proteins and the function of drug-resistant mutations of these proteins is critical for the development of effective HIV treatments. Selected gag mutations have been shown to provide compensatory functions for protease resistance mutations and may directly contribute to the development of drug resistance. To determine associations between protease inhibitor mutations and gag, we utilized deep sequencing of HIV gag and protease from a collection of viral isolates from patients treated with highly active retroviral protease inhibitors. Deep sequencing allows for accurate measurement of mutation frequencies at each position, allowing estimation, using a novel method we developed, of the covariation between any two residues on gag. Using this information, we characterize the variation within gag and protease and identify the most strongly correlated pairs of inter- and intra-protein residues. Our results suggest that matrix and p1/p6 mutations form the core of a network of strongly correlated gag mutations and contribute to recurrent treatment failure. Extracting gag residue covariation information from the deep sequencing of patient viral samples may provide insight into structural aspects of the Gag polyprotein as well new areas for small molecule targeting to disrupt Gag function.
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Affiliation(s)
- William F. Flynn
- Department of Physics and Astronomy, Rutgers University, Piscataway, New Jersey, United States of America
- Center for Biophysics and Computational Biology, Temple University, Philadelphia, Pennsylvania, United States of America
| | - Max W. Chang
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, California, United States of America
| | - Zhiqiang Tan
- Department of Statistics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Glenn Oliveira
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, California, United States of America
| | - Jinyun Yuan
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, California, United States of America
| | - Jason F. Okulicz
- Infectious Disease Service, San Antonio Military Medical Center, San Antonio, Texas, United States of America
| | - Bruce E. Torbett
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, California, United States of America
- * E-mail: (BET); (RML)
| | - Ronald M. Levy
- Center for Biophysics and Computational Biology, Temple University, Philadelphia, Pennsylvania, United States of America
- Department of Chemistry, and Institute for Computational Molecular Science, Temple University, Philadelphia, Pennsylvania, United States of America
- * E-mail: (BET); (RML)
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Li G, Theys K, Verheyen J, Pineda-Peña AC, Khouri R, Piampongsant S, Eusébio M, Ramon J, Vandamme AM. A new ensemble coevolution system for detecting HIV-1 protein coevolution. Biol Direct 2015; 10:1. [PMID: 25564011 PMCID: PMC4332441 DOI: 10.1186/s13062-014-0031-8] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2014] [Accepted: 12/02/2014] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND A key challenge in the field of HIV-1 protein evolution is the identification of coevolving amino acids at the molecular level. In the past decades, many sequence-based methods have been designed to detect position-specific coevolution within and between different proteins. However, an ensemble coevolution system that integrates different methods to improve the detection of HIV-1 protein coevolution has not been developed. RESULTS We integrated 27 sequence-based prediction methods published between 2004 and 2013 into an ensemble coevolution system. This system allowed combinations of different sequence-based methods for coevolution predictions. Using HIV-1 protein structures and experimental data, we evaluated the performance of individual and combined sequence-based methods in the prediction of HIV-1 intra- and inter-protein coevolution. We showed that sequence-based methods clustered according to their methodology, and a combination of four methods outperformed any of the 27 individual methods. This four-method combination estimated that HIV-1 intra-protein coevolving positions were mainly located in functional domains and physically contacted with each other in the protein tertiary structures. In the analysis of HIV-1 inter-protein coevolving positions between Gag and protease, protease drug resistance positions near the active site mostly coevolved with Gag cleavage positions (V128, S373-T375, A431, F448-P453) and Gag C-terminal positions (S489-Q500) under selective pressure of protease inhibitors. CONCLUSIONS This study presents a new ensemble coevolution system which detects position-specific coevolution using combinations of 27 different sequence-based methods. Our findings highlight key coevolving residues within HIV-1 structural proteins and between Gag and protease, shedding light on HIV-1 intra- and inter-protein coevolution.
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Affiliation(s)
- Guangdi Li
- KU Leuven - University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, Leuven, Belgium.
| | - Kristof Theys
- KU Leuven - University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, Leuven, Belgium.
| | - Jens Verheyen
- Institute of Virology, University hospital, University Duisburg-Essen, Essen, Germany.
| | - Andrea-Clemencia Pineda-Peña
- KU Leuven - University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, Leuven, Belgium. .,Clinical and Molecular Infectious Disease Group, Faculty of Sciences and Mathematics, Universidad del Rosario, Bogotá, Colombia.
| | - Ricardo Khouri
- KU Leuven - University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, Leuven, Belgium.
| | - Supinya Piampongsant
- KU Leuven - University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, Leuven, Belgium.
| | - Mónica Eusébio
- Centro de Malária e Outras Doenças Tropicais and Unidade de Microbiologia, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisboa, Portugal.
| | - Jan Ramon
- Department of Computer Science, KU Leuven - University of Leuven, Leuven, Belgium.
| | - Anne-Mieke Vandamme
- KU Leuven - University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, Leuven, Belgium. .,Centro de Malária e Outras Doenças Tropicais and Unidade de Microbiologia, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisboa, Portugal.
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5
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Cryo-electron microscopy of tubular arrays of HIV-1 Gag resolves structures essential for immature virus assembly. Proc Natl Acad Sci U S A 2014; 111:8233-8. [PMID: 24843179 DOI: 10.1073/pnas.1401455111] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The assembly of HIV-1 is mediated by oligomerization of the major structural polyprotein, Gag, into a hexameric protein lattice at the plasma membrane of the infected cell. This leads to budding and release of progeny immature virus particles. Subsequent proteolytic cleavage of Gag triggers rearrangement of the particles to form mature infectious virions. Obtaining a structural model of the assembled lattice of Gag within immature virus particles is necessary to understand the interactions that mediate assembly of HIV-1 particles in the infected cell, and to describe the substrate that is subsequently cleaved by the viral protease. An 8-Å resolution structure of an immature virus-like tubular array assembled from a Gag-derived protein of the related retrovirus Mason-Pfizer monkey virus (M-PMV) has previously been reported, and a model for the arrangement of the HIV-1 capsid (CA) domains has been generated based on homology to this structure. Here we have assembled tubular arrays of a HIV-1 Gag-derived protein with an immature-like arrangement of the C-terminal CA domains and have solved their structure by using hybrid cryo-EM and tomography analysis. The structure reveals the arrangement of the C-terminal domain of CA within an immature-like HIV-1 Gag lattice, and provides, to our knowledge, the first high-resolution view of the region immediately downstream of CA, which is essential for assembly, and is significantly different from the respective region in M-PMV. Our results reveal a hollow column of density for this region in HIV-1 that is compatible with the presence of a six-helix bundle at this position.
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Mintaev RR, Alexeevski AV, Kordyukova LV. Co-evolution analysis to predict protein-protein interactions within influenza virus envelope. J Bioinform Comput Biol 2014; 12:1441008. [PMID: 24712535 DOI: 10.1142/s021972001441008x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Interactions between integral membrane proteins hemagglutinin (HA), neuraminidase (NA), M2 and membrane-associated matrix protein M1 of influenza A virus are thought to be crucial for assembly of functionally competent virions. We hypothesized that the amino acid residues located at the interface of two different proteins are under physical constraints and thus probably co-evolve. To predict co-evolving residue pairs, the EvFold ( http://evfold.org ) program searching the (nontransitive) Direct Information scores was applied for large samplings of amino acid sequences from Influenza Research Database ( http://www.fludb.org/ ). Having focused on the HA, NA, and M2 cytoplasmic tails as well as C-terminal domain of M1 (being the less conserved among the protein domains) we captured six pairs of correlated positions. Among them, there were one, two, and three position pairs for HA-M2, HA-M1, and M2-M1 protein pairs, respectively. As expected, no co-varying positions were found for NA-HA, NA-M1, and NA-M2 pairs obviously due to high conservation of the NA cytoplasmic tail. The sum of frequencies calculated for two major amino acid patterns observed in pairs of correlated positions was up to 0.99 meaning their high to extreme evolutionary sustainability. Based on the predictions a hypothetical model of pair-wise protein interactions within the viral envelope was proposed.
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Affiliation(s)
- Ramil R Mintaev
- Belozersky Institute of Physico-Chemical Biology, Moscow State University, Leninskie Gory 1-40, Moscow 119991, Russia
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Kawano Y, Neeley S, Adachi K, Nakai H. An experimental and computational evolution-based method to study a mode of co-evolution of overlapping open reading frames in the AAV2 viral genome. PLoS One 2013; 8:e66211. [PMID: 23826091 PMCID: PMC3691236 DOI: 10.1371/journal.pone.0066211] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2013] [Accepted: 05/07/2013] [Indexed: 02/07/2023] Open
Abstract
Overlapping open reading frames (ORFs) in viral genomes undergo co-evolution; however, how individual amino acids coded by overlapping ORFs are structurally, functionally, and co-evolutionarily constrained remains difficult to address by conventional homologous sequence alignment approaches. We report here a new experimental and computational evolution-based methodology to address this question and report its preliminary application to elucidating a mode of co-evolution of the frame-shifted overlapping ORFs in the adeno-associated virus (AAV) serotype 2 viral genome. These ORFs encode both capsid VP protein and non-structural assembly-activating protein (AAP). To show proof of principle of the new method, we focused on the evolutionarily conserved QVKEVTQ and KSKRSRR motifs, a pair of overlapping heptapeptides in VP and AAP, respectively. In the new method, we first identified a large number of capsid-forming VP3 mutants and functionally competent AAP mutants of these motifs from mutant libraries by experimental directed evolution under no co-evolutionary constraints. We used Illumina sequencing to obtain a large dataset and then statistically assessed the viability of VP and AAP heptapeptide mutants. The obtained heptapeptide information was then integrated into an evolutionary algorithm, with which VP and AAP were co-evolved from random or native nucleotide sequences in silico. As a result, we demonstrate that these two heptapeptide motifs could exhibit high degeneracy if coded by separate nucleotide sequences, and elucidate how overlap-evoked co-evolutionary constraints play a role in making the VP and AAP heptapeptide sequences into the present shape. Specifically, we demonstrate that two valine (V) residues and β-strand propensity in QVKEVTQ are structurally important, the strongly negative and hydrophilic nature of KSKRSRR is functionally important, and overlap-evoked co-evolution imposes strong constraints on serine (S) residues in KSKRSRR, despite high degeneracy of the motifs in the absence of co-evolutionary constraints.
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Affiliation(s)
- Yasuhiro Kawano
- Department of Molecular and Medical Genetics, Oregon Health and Science University School of Medicine, Portland, Oregon, United States of America
- Takara Bio Inc., Otsu Shiga, Japan
| | - Shane Neeley
- Department of Molecular and Medical Genetics, Oregon Health and Science University School of Medicine, Portland, Oregon, United States of America
| | - Kei Adachi
- Department of Molecular and Medical Genetics, Oregon Health and Science University School of Medicine, Portland, Oregon, United States of America
| | - Hiroyuki Nakai
- Department of Molecular and Medical Genetics, Oregon Health and Science University School of Medicine, Portland, Oregon, United States of America
- * E-mail:
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