Computational Coevolution of Antiviral Drug Resistance

1998 ◽  
Vol 4 (1) ◽  
pp. 41-59 ◽  
Author(s):  
Christopher D. Rosin ◽  
Richard K. Belew ◽  
Garrett M. Morris ◽  
Arthur J. Olson ◽  
David S. Goodsell

An understanding of antiviral drug resistance is important in the design of effective drugs. Comprehensive features of the interaction between drug designs and resistance mutations are difficult to study experimentally because of the very large numbers of drugs and mutants involved. We describe a computational framework for studying antiviral drug resistance. Data on HIV-1 protease are used to derive an approximate model that predicts interaction of a wide range of mutant forms of the protease with a broad class of protease inhibitors. An algorithm based on competitive coevolution is used to find highly resistant mutant forms of the protease, and effective inhibitors against such mutants, in the context of the model. We use this method to characterize general features of inhibitors that are effective in overcoming resistance, and to study related issues of selection pathways, cross-resistance, and combination therapies.

1999 ◽  
Vol 43 (6) ◽  
pp. 1500-1502 ◽  
Author(s):  
Sunwen Chou ◽  
Nell S. Lurain ◽  
Adriana Weinberg ◽  
Guang-Yung Cai ◽  
Prem L. Sharma ◽  
...  

ABSTRACT The polymerase (pol) coding sequence was determined for 40 independent clinical cytomegalovirus isolates sensitive to ganciclovir and foscarnet. Sequence alignments showed >98% interstrain homology and amino acid variation in only 4% of the 1,237 codons. Almost all variation occurred outside of conserved functional domains where resistance mutations have been identified.


2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S40-S40
Author(s):  
Jamie Nutt ◽  
James Grantham ◽  
Marilyn Smith ◽  
Emily Smith ◽  
Ashley Wedin ◽  
...  

Abstract Background HCV genotype 1a (HCV g1a) followed by HCV g1b, –g2, and –g3 are the most common etiologic agents in the ~3 million current HCV-infections in the US. To achieve effective therapy, antiviral drug resistance testing is often essential but not fully available. Knowledge of both the genotype and the presence of HCV mutations in the genes of the major drug targets (NS3, NS5A and NS5B) can assist in optimal treatment selection. Methods The HCV genotype of 1000 HCV positive clinical plasmas and sera was determined (HCVg Direct, GenMark). Ten independent Sanger sequencing assays detecting antiviral drug resistance mutations in the genes encoding NS3, NS5a, and NS5b were developed. Six of these assays address mutations in all three genes in the two most common genotypes (HCV g1a and g1b). In addition, four more assays address mutations in NS5a and NS5b of HCV g2 and g3. These mutations are resistance determinants against 11 anti-HCV drugs as shown in Figure 1. A streamlined workflow employs conventional reverse transcriptase PCR, gel electrophoresis, spectrophotometry, bi-directional Sanger sequencing and reporting. The assays were designed to cover hot spot regions and capturing all known resistance mutations in NS3, NS5a and NS5b. Results Consistent with previous US HCV incidence reports, g1a, g1b, g2, and g3 comprised 99% of 1000 sequentially tested HCV patient specimens (62%, 12%, 11%, and 14%, respectively). Testing of more than 20 clinical samples each for g1a, g1b, g2, and g3 resulted in successful detection of NS3, NS5a, and NS5b mutations that confer drug resistance. The design successfully permitted detection of relevant mutations known to date for all 11 drugs. The number of reportable mutations range from 20 ‒ 36, 9 ‒ 49, and 10 ‒ 29 for the NS3, NS5a, and NS5b inhibitors, respectively (Figure 1). Conclusion These assays provide the most comprehensive commercially available antiviral drug resistance information to date for mutations in HCV NS3, NS5A, and NS5B. This testing will assist physicians in deciding on the most appropriate treatment options for their patients. Disclosures J. Nutt, Viracor Eurofins Laboratories: Employee, Salary; 
J. Grantham, Viracor Eurofins Laboratories: Employee, Salary; M. Smith, Viracor Eurofins Laboratories: Employee, Salary; E. Smith, Viracor Eurofins Laboratories: Employee, Salary; A. Wedin, Viracor Eurofins Laboratories: Employee, Salary; 
A. Tyler, Viracor Eurofins Laboratories: Employee, Salary; M. Miralles, Viracor Eurofins Laboratories: Employee, Salary; S. Kleiboeker, Viracor Eurofins Laboratories: Employee, Salary; M. Wissel, Viracor Eurofins Laboratories: Employee, Salary


2010 ◽  
Vol 23 (4) ◽  
pp. 689-712 ◽  
Author(s):  
Nell S. Lurain ◽  
Sunwen Chou

SUMMARY The study of human cytomegalovirus (HCMV) antiviral drug resistance has enhanced knowledge of the virological targets and the mechanisms of antiviral activity. The currently approved drugs, ganciclovir (GCV), foscarnet (FOS), and cidofovir (CDV), target the viral DNA polymerase. GCV anabolism also requires phosphorylation by the virus-encoded UL97 kinase. GCV resistance mutations have been identified in both genes, while FOS and CDV mutations occur only in the DNA polymerase gene. Confirmation of resistance mutations requires phenotypic analysis; however, phenotypic assays are too time-consuming for diagnostic purposes. Genotypic assays based on sequencing provide more rapid results but are dependent on prior validation by phenotypic methods. Reports from many laboratories have produced an evolving list of confirmed resistance mutations, although differences in interpretation have led to some confusion. Recombinant phenotyping methods performed in a few research laboratories have resolved some of the conflicting results. Treatment options for drug-resistant HCMV infections are complex and have not been subjected to controlled clinical trials, although consensus guidelines have been proposed. This review summarizes the virological and clinical data pertaining to HCMV antiviral drug resistance.


2020 ◽  
pp. 124043 ◽  
Author(s):  
Manish Kumar ◽  
Payal Mazumder ◽  
Sanjeeb Mohapatra ◽  
Alok Kumar Thakur ◽  
Kiran Dhangar ◽  
...  

2020 ◽  
Vol 75 (6) ◽  
pp. 1567-1574
Author(s):  
Daniela Sánchez ◽  
Solange Arazi Caillaud ◽  
Ines Zapiola ◽  
Silvina Fernandez Giuliano ◽  
Rosa Bologna ◽  
...  

Abstract Background Current knowledge on HIV-1 resistance to integrase inhibitors (INIs) is based mostly on subtype B strains. This contrasts with the increasing use of INIs in low- and middle-income countries, where non-B subtypes predominate. Materials and methods HIV-1 drug resistance genotyping was performed in 30 HIV-1-infected individuals undergoing virological failure to raltegravir. Drug resistance mutations (DRMs) and HIV-1 subtype were characterized using Stanford HIVdb and phylogenetic analyses. Results Of the 30 integrase (IN) sequences, 14 were characterized as subtype F (47%), 8 as subtype B (27%), 7 as BF recombinants (23%) and 1 as a putative CRF05_DF (3%). In 25 cases (83%), protease and reverse transcriptase (PR-RT) sequences from the same individuals confirmed the presence of different BF recombinants. Stanford HIVdb genotyping was concordant with phylogenetic inference in 70% of IN and 60% of PR-RT sequences. INI DRMs differed between B and F IN subtypes, with Q148K/R/H, G140S and E138K/A being more prevalent in subtype B (63% versus 0%, P = 0.0021; 50% versus 0%, P = 0.0096; and 50% versus 0%, P = 0.0096, respectively). These differences were independent of the time on raltegravir therapy or viral load at the time of genotyping. INI DRMs in subtype F IN genomes predicted a lower level of resistance to raltegravir and no cross-resistance to second-generation INIs. Conclusions Alternative resistance pathways to raltegravir develop in subtypes B and F IN genomes, with implications for clinical practice. Evaluating the role of HIV-1 subtype in development and persistence of mutations that confer resistance to INIs will be important to improve algorithms for resistance testing and optimize the use of INIs.


2000 ◽  
Vol 182 (4) ◽  
pp. 1234-1238 ◽  
Author(s):  
Weiqun Liu ◽  
Carol Shum ◽  
Daniel F. Martin ◽  
Baruch D. Kuppermann ◽  
Anthony J. H. Hall ◽  
...  

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