Integrating network, sequence and functional features using machine learning approaches towards identification of novel Alzheimer genes

समान संसाधन

• Predicting neurological Adverse Drug Reactions based on biological, chemical and phenotypic properties of drugs using machine learning models
  द्वारा: Jamal, Salma, और अन्य
  प्रकाशित: (2017)
• Checking the STEP-Associated Trafficking and Internalization of Glutamate Receptors for Reduced Cognitive Deficits: A Machine Learning Approach-Based Cheminformatics Study and Its Application for Drug Repurposing
  द्वारा: Jamal, Salma, और अन्य
  प्रकाशित: (2015)
• Structural investigations of T854A mutation in EGFR and identification of novel inhibitors using structure activity relationships
  द्वारा: Goyal, Sukriti, और अन्य
  प्रकाशित: (2015)
• Machine Learning From Molecular Dynamics Trajectories to Predict Caspase-8 Inhibitors Against Alzheimer’s Disease
  द्वारा: Jamal, Salma, और अन्य
  प्रकाशित: (2019)
• Predicting phosphorylation sites using machine learning by integrating the sequence, structure, and functional information of proteins
  द्वारा: Jamal, Salma, और अन्य
  प्रकाशित: (2021)