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NGYX I.C. Genos/Phenos.

Free G/Ps Subsets #1 are directly available just by cliking on these (Section I). If you want to enlarge your dataset and buy additionnal subsets go to Section II.

I. Free G/Ps  ranked per Class/MoA and with NGYX I.C. Drug Resistance Interest factor (DRI; 5% to 100%)

Help yourself and even go for the NGYX I.C. Challenge! Click HERE!

NRTIs

LMV LaMiVudine (50%) Download IT (click)

EMT EMTricitabine (55%) Download IT (click)

ZDV ZiDoVudine (60%) Download IT (click)

TNFTeNoFovir (55%) Download IT (click)

STV STaVudine (35%) Download IT (click)

DDN DiDaNosine (25%) Download IT (click)

ABC ABaCavir (40%) Download IT (click)

ZLC ZaLCitabine (5%) Download IT (click)

NNRTIs

NVR NeViRapine  (60%) Download IT (click)

EFV EFaVirenz (65%) Download IT (click)

ETR ETRavirine (90%) Download IT (click)

RLP RiLPivirine (95%) Download IT (click)

DLV DeLaVirdine (10%) Download IT (click)

PIs

IND INDinavir (60%) Download IT (click)

SQN SaQuiNavir (65%) Download IT (click)

AMPAMPrenavir (65%) Download IT (click)

LPN LoPiNavir (60%) Download IT (click)

ATZ ATaZanavir (80%) Download IT (click)

TPR TiPRanavir (85%) Download IT (click)

DRN DaRuNavir (100%) Download IT (click)

NLF NeLFinavir (30%) Download IT (click)

RTN RiToNavir (5%) Download IT (click)

II. Catching other G/Ps Subsets (#2 to #25 or all in one shoot).

These are not for free (but very sheep! Click HERE to have an idea about that). So we strongly recommend to evaluate datasets/subsets by visiting / reviewing the related WEB Drug pages and even go deeper by downloading the corresponding "Dataset INFO files".

Then if you are interested ordering some subsets download the Dedicated MS-Excel Template (Click HERE), fill it and follow instructions from the READ_ME sheet.

NRTIs

LMV LaMiVudine WEB Page / Dataset INFO

EMT EMTricitabine WEB Page / Dataset INFO

ZDV ZiDoVudine WEB Page / Dataset INFO

TNF TeNoFovir WEB Page / Dataset INFO

STV STaVudine WEB Page / Dataset INFO

DDN DiDaNosine WEB Page / Dataset INFO

ABC ABaCavir WEB Page / Dataset INFO

ZLC ZaLCitabine WEB Page / Dataset INFO

NNRTIs

NVR NeViRapine WEB Page / Dataset INFO

EFV EFaVirenz WEB Page / Dataset INFO

ETR ETRavirine WEB Page / Dataset INFO

RLP RiLPivirine WEB Page / Dataset INFO

DLV DeLaVirdine WEB Page / Dataset INFO

PIs

IND INDinavir WEB Page / Dataset INFO

SQN SaQuiNavir WEB Page / Dataset INFO

AMP AMPrenavir WEB Page / Dataset INFO

LPN LoPiNavir WEB Page / Dataset INFO

ATZ ATaZanavir WEB Page / Dataset INFO

TPR TiPRanavir WEB Page / Dataset INFO

DRN DaRuNavir WEB Page / Dataset INFO

NLF NeLFinavir WEB Page / Dataset INFO

RTN RiToNavir WEB Page / Dataset INFO

NGYX I.C. Comment: Reviewing datasets for all of the 22 FDA approved drugs and doing a comparison of e.g. Drug Resistance  Values  (Fold Changes / Phenos) with Subset #1 (being only 4% of the dataset) we noticed that:

1. The "subsetting" step is almost perfect in terms of resistance with all Pearson > 0.99 (and remember that in our process Resistance is ranked level 2, clade being ranked level 1). Means even 4% subsets are already well picturing our global Datasets. But of course the more you incorporate data, the more you can incorporate vairable or even interaction effects. 

2. NOT A SINGLE ONE COMPANY (source of data; generated over > 10 Years) was able or even thougth to adapt their tests. Looking at distribution of resitance it is a pity! Because from a 4% subset you can already identify how to correct the test and adjust parameters.