<!--#if expr="$title" --> <!--#echo var="title" --> <!--#else --> HIV Drug Resistance Database <!--#endif -->
Stanford University HIV Drug Resistance Database - A curated public database designed to represent, store, and analyze the divergent forms of data underlying HIV drug resistance.

MARVEL on RT mutations at position 77


HIVdb Algorithm: Comments & Scores
  • F77L usually occurs in combination with the multinucleoside resistance mutations F116Y and Q151M.

Mutation3TCFTCABCAZTD4TDDITDF
F77L55101010105
Footnote:Mutation scores on the left are derived from published literature linking mutations and ARVs (the complete details can be found in the HIVdb Release Notes).
Genotype-treatment correlation
Mutation frequency according to subtype and drug-class experience.
The frequency of each mutation at position 77 according to subtype and drug-class experience. Data are shown for the 8 most common subtypes. The number of persons in each subtype/treatment category is shown beneath the subtype. Mutations occurring at a frequency >0.5% are shown. Each mutation is also a hyper-link to a separate web page with information on each isolate, including literature references with PubMed abstracts, the GenBank accession number, and complete sequence and treatment records.

PosWTRTI Naive Persons NRTI (but no NNRTI) Treated Persons
A
3849
B
25469
C
8623
D
1319
F
723
G
1577
AE
5538
AG
2906
 
A
205
B
4133
C
551
D
127
F
82
G
146
AE
325
AG
78
77 F          L 0.5 L 1.1 L 0.6 S 0.8  S 0.7
L 0.7
L 1.3  
Footnote: The query page Mutation Prevalence According to Subtype and Treatment to examine the frequency of all mutations according to subtype and treatment; The program HIVSeq provides similar output for mutations in user-submitted sequences; A complete description of the program that generates these tables can be found at Rhee et al AIDS 2006.
 

Mutation frequency according to treatment with individual ARVs.
The first row shows the frequency of the mutation in persons who are RTI-naive (indicated in green). The second row shows the frequency of the mutation in persons who have received one or more NRTIs (+/- NNRTIs). The following rows show the frequency of the mutation in persons who have received only a single NRTI. Mutation rates that differ significantly between treated and untreated isolates are indicated in yellow.
MutationNRTINNRTINumSeqNumMut% Mutantp
F77L0051911310.00 
F77L>=1>=0254594701.800.000
F77LAZT>=045310.200.670
F77LDDI>=0530  
F77LD4T>=0550  
F77LABC>=04712.100.006
F77LD4T+3TC>=03270501.500.000
F77LAZT+3TC>=02302160.600.000
F77LD4T+DDI>=046671.500.000
F77LAZT+DDI>=0579162.700.000
F77LABC+3TC>=02850  
F77LTDF+3TC>=03690  
F77LTDF+FTC>=03520  
MutationNRTINNRTINumSeqNumMut% Mutantp
F77S0051911110.00 
F77S>=1>=025459130.000.046
F77SAZT>=04530  
F77SDDI>=0530  
F77SD4T>=0550  
F77SABC>=0470  
F77SD4T+3TC>=032700  
F77SAZT+3TC>=0230210.001.000
F77SD4T+DDI>=046610.200.227
F77SAZT+DDI>=057910.100.309
F77SABC+3TC>=02850  
F77STDF+3TC>=03690  
F77STDF+FTC>=03520  
Footnote: About one-half of the untreated isolates belong to non-subtype B isolates; About 20% of the treated isolates belong to non-subtype B isolates; A page containing summaries for all of the mutations at this position can be found here.

Genotype-phenotype correlation
Phenotypes of top 10 common patterns of drug resistance mutations with mutations at position 77.
Mutation pattern data is not available for F77.

A complete summary of additional in vitro susceptibility data for viruses with F77 obtained using other assays including the Antivirogram can be found here.

 

Phenotypic coefficients using machine learning
Least Square Regression (LSR) was used to learn the relative contribution of each mutation to the fold decrease in susceptibility for an ARV. The figure on the left (click to enlarge the figure) shows the regression coefficients (which correlate with the contribution to resistance) for the 23 nonpolymorphic NRTI-resistance mutations shown to contribute decreased susceptibility to at least one NRTI. A complete description of the method that generates this figure can be found at Rhee et al PNAS 2006.