q-bio.bm

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1
In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19
Seshu Vardhan; Suban K Sahoo
2020 arXiv 28 views
2
In silico identification of potential natural product inhibitors of human proteases key to SARS-CoV-2 infection
R. P. Vivek-Ananth; Abhijit Rana; Nithin Rajan; Himansu S. Biswal; Areejit Samal
2020 arXiv 20 views
3
Evaluation of In vitro anti-inflammatory activity and Insilico pharmacokinetics and molecular docking study of Horsfieldia iryaghedhi
Rajapaksha HKK; Fernando MN; Nelumdeniya NRM; Bandara AWMKK; Silva ARN
2024 arXiv 28 views
4
Searching inhibitors for three important proteins of COVID-19 through molecular docking studies
Seshu Vardhan; Suban K Sahoo
2020 arXiv 30 views
5
Neuromodulators in food ingredients: insights from network pharmacological evaluation of Ayurvedic herbs
Neha Choudhary; Vikram Singh
2021 arXiv 22 views
6
In Silico Screening of Some Naturally Occurring Bioactive Compounds Predicts Potential Inhibitors against SARS-COV-2 (COVID-19) Protease
Ashok Kumar Mishra; Satya Prakash Tewari
2020 arXiv 28 views
7
Exploring Data-Driven Chemical SMILES Tokenization Approaches to Identify Key Protein-Ligand Binding Moieties
Asu Büşra Temizer; Gökçe Uludoğan; Rıza Özçelik; Taha Koulani; Elif Ozkirimli; Kutlu O. Ulgen; Nilgü...
2022 arXiv 27 views
8
Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting
Sarwan Ali; Prakash Chourasia; Murray Patterson
2024 arXiv 36 views
9
Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments
Jirong Yi; Raghu Mudumbai; Weiyu Xu
2020 arXiv 23 views
10
Progress and Challenges for the Application of Machine Learning for Neglected Tropical Diseases
Chung Yuen Khew; Rahmad Akbar; Norfarhan Mohd. Assaad
2022 arXiv 15 views

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q-bio.mn q-bio.qm q-bio.pe physics.bio-ph cs.lg physics.chem-ph eess.sp cs.it math.it