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Bibliographies

11

1 In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19

2 In silico identification of potential natural product inhibitors of human proteases key to SARS-CoV-2 infection

3 Evaluation of In vitro anti-inflammatory activity and Insilico pharmacokinetics and molecular docking study of Horsfieldia iryaghedhi

4 Searching inhibitors for three important proteins of COVID-19 through molecular docking studies

5 Neuromodulators in food ingredients: insights from network pharmacological evaluation of Ayurvedic herbs

6 In Silico Screening of Some Naturally Occurring Bioactive Compounds Predicts Potential Inhibitors against SARS-COV-2 (COVID-19) Protease

7 Exploring Data-Driven Chemical SMILES Tokenization Approaches to Identify Key Protein-Ligand Binding Moieties

8 Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting

9 Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments

10 Progress and Challenges for the Application of Machine Learning for Neglected Tropical Diseases

11 A SELEX Protocol to Identify ssDNA Biotemplates for Gold Nanoparticle Synthesis