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Accurate Prediction of Transcriptional Activity of Single Missense Variants in HIV Tat with Deep Learning
Tat is an essential gene for increasing the transcription of all HIV genes, and affects HIV replication, HIV exit from latency, and AIDS progression. The Tat gene frequently mutates in vivo and produces variants with diverse activities, contributing to HIV viral heterogeneity as well as drug-resista...
Autores principales: | Derbel, Houssemeddine, Giacoletto, Christopher J., Benjamin, Ronald, Chen, Gordon, Schiller, Martin R., Liu, Qian |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093788/ https://www.ncbi.nlm.nih.gov/pubmed/37047108 http://dx.doi.org/10.3390/ijms24076138 |
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