Predict marker expression changes when a target is knocked down using generative AI (pseudo-blotting)
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Normal |
ENSG00000111704 knock-down (NANOG : Nanog homeobox) |
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|---|---|---|---|---|---|---|---|
| Model: 2024-981 Perturbation: Differentiation Generated: 2024-07-10 11:15:24 +0900 |
DAY0 |
MID |
DAY3 |
DAY0 |
MID |
DAY3 |
|
|
ENSG00000132646 (PCNA : proliferating cell nuclear antigen) |
1.431 | 1.407 | 1.003 | 1.363 | 0.907 | 0.503 | |
|
ENSG00000148773 (MKI67 : marker of proliferation Ki-67) |
0.813 | 0.897 | 0.748 | 0.999 | 0.555 | 0.139 | |
|
ENSG00000186395 (KRT10 : keratin 10) |
0.916 | 0.851 | 0.848 | 1.065 | 0.927 | 0.720 | |
|
ENSG00000170421 (KRT8 : keratin 8) |
1.240 | 1.285 | 1.265 | 1.200 | 1.436 | 1.456 | |
|
ENSG00000111704 (NANOG : Nanog homeobox) (Knock-downed) |
1.135 | 1.239 | 0.331 | 0.186 | 0.345 | 0.376 | |
|
ENSG00000075624 (ACTB : actin beta) (Standard) |
1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | |
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Background
SilicoPharm Inc. is a company that connects life sciences and artificial intelligence by providing easy-to-use AI solutions for researchers. KnockG™ is a solution that uses generative AI to create omics data under various environments and gene knockdown conditions, helping to reduce time and costs in life science research and drug development. lite.KnockG™ is a service that offers some of the features of KnockG™ for free, providing a Pseudo-blotting function (predicting marker expression changes) when specific genes are knocked down using pre-uploaded models. KnockG™ enables comprehensive and proactive analysis, including training new models, setting up time-series simulations, performing multi-gene knockdowns, exploring and identifying new targets, reviewing literature and patent information of derived targets, and conducting network analysis.
Use Case & Publication