An in silico drug repositioning workflow for host-based antivirals
Summary: Drug repositioning represents a cost- and time-efficient strategy for drug development. Artificial intelligence-based algorithms have been applied in drug repositioning by predicting drug-target interactions in an efficient and high throughput manner. Here, we present a workflow of in silic...
Main Authors: | Zexu Li, Yingjia Yao, Xiaolong Cheng, Wei Li, Teng Fei |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-09-01
|
Series: | STAR Protocols |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666166721003609 |
Similar Items
-
A computational framework of host-based drug repositioning for broad-spectrum antivirals against RNA viruses
by: Zexu Li, et al.
Published: (2021-03-01) -
A pipeline of integrating transcriptome and interactome to elucidate central nodes in host-pathogens interactions
by: Nilesh Kumar, et al.
Published: (2022-09-01) -
HIV reservoir quantification by five-target multiplex droplet digital PCR
by: Claire N. Levy, et al.
Published: (2021-12-01) -
In silico functional and structural characterization of hepatitis B virus PreS/S-gene in Iranian patients infected with chronic hepatitis B virus genotype D
by: Nastaran Khodadad, et al.
Published: (2020-07-01) -
Protocol for constructing large size human antibody heavy chain variable domain (VH) library and selection of SARS-CoV-2 neutralizing antibody domains
by: Chuan Chen, et al.
Published: (2021-09-01)