High-Throughput Prediction of the Impact of Genetic Variability on Drug Sensitivity and Resistance Patterns for Clinically Relevant Epidermal Growth Factor Receptor Mutations from Atomistic Simulations.
Aristarc SuriñachAdam HospitalYvonne WestermaierLuis JordàSergi Orozco-RuizDaniel BeltránFrancesco ColizziPau AndrioRobert SolivaMartí MunicoyJosep Lluis GelpíModesto OrozcoPublished in: J. Chem. Inf. Model. (2023)
Keyphrases
- high throughput
- clinically relevant
- single nucleotide polymorphisms
- microarray
- systems biology
- genome wide
- drug discovery
- biological data
- drug design
- virtual screening
- genetic variation
- human genome
- protein protein interactions
- biological knowledge
- genomic data
- mass spectrometry data
- data acquisition
- dna sequencing
- gene expression
- gene expression levels
- drug resistance
- gene ontology
- molecular biology
- real time
- proteomic data
- influenza virus
- low latency
- protein interaction
- pattern mining
- data mining techniques