<!--#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 protease mutations at position 23


HIVdb Algorithm: Comments & Scores
  • L23I is a rare substrate cleft mutation that causes low-level NFV resistance.

MutationFPV/rIDV/rNFVSQV/rLPV/rATV/rTPV/rDRV/r
L23I001500000
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 23 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.

PosWTPI Naive Persons PI Treated Persons
A
3960
B
24126
C
8169
D
1554
F
1081
G
1321
AE
4023
AG
3528
 
A
189
B
9315
C
464
D
234
F
1527
G
256
AE
112
AG
135
23 L          I 0.5 I 1.0 I 2.0 I 0.9  I 0.8   
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 PI-naive (indicated in green). The second row shows the frequency of the mutation in persons who have received one or more PIs. The following rows show the frequency of the mutation in persons who have received only a single PI. Mutation rates that differ significantly between treated and untreated isolates are indicated in yellow.
MutationPINumSeqNumMut% Mutantp
L23F048215170.00 
L23F>=11244940.000.916
L23FAPV490  
L23FIDV9750  
L23FLPV4370  
L23FNFV115610.000.903
L23FRTV1790  
L23FSQV2830  
L23FATV570  
L23FTPV00  
L23FDRV10  
MutationPINumSeqNumMut% Mutantp
L23I048215110.00 
L23I>=1124491441.100.000
L23IAPV490  
L23IIDV9750  
L23ILPV4370  
L23INFV1156121.000.000
L23IRTV17910.500.030
L23ISQV28320.700.000
L23IATV570  
L23ITPV00  
L23IDRV10  
MutationPINumSeqNumMut% Mutantp
L23P048215140.00 
L23P>=11244920.000.628
L23PAPV490  
L23PIDV97510.100.707
L23PLPV4370  
L23PNFV11560  
L23PRTV1790  
L23PSQV2830  
L23PATV5711.700.000
L23PTPV00  
L23PDRV10  
MutationPINumSeqNumMut% Mutantp
L23V048215100.00 
L23V>=11244950.000.363
L23VAPV490  
L23VIDV97510.100.542
L23VLPV4370  
L23VNFV11560  
L23VRTV1790  
L23VSQV2830  
L23VATV570  
L23VTPV00  
L23VDRV10  
Footnote: Data are not shown for TPV or DRV because there are no data available from persons who have developed virological failure after receiving just one of these PIs; 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 23.
Mutation pattern data is not available for L23.

A complete summary of additional in vitro susceptibility data for viruses with L23 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 35 nonpolymorphic PI-resistance mutations shown to contribute decreased susceptibility to at least one PI. A complete description of the method that generates this figure can be found at Rhee et al PNAS 2006.

 

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