Table 1 A list of all the data that fed into the microbe–drug association prediction
From: In-silico computational approaches to study microbiota impacts on diseases and pharmacotherapy
Data | Source | Original from | Size/coverage in MDAD | The process of similarity |
|---|---|---|---|---|
MDAD | A database that gathers various types of data from different sources to discover the interaction between microbes and drugs and to promote the detection of antimicrobial drugs and the use of microbiomes in medicine (http://chengroup.cumt.edu.cn/MDAD) | Multiple prescription libraries and associated papers yielded 5,055 entries representing 1,388 medicines and 180 microbes | There are 5,055 entries in this collection of clinical or experimental support collaborations, including 180 microbes and 1,388 medications | After deleting duplicate information at the end of 2470, the relationship between 1373 drugs and 173 microbes has been used for the similarity process |
Drug-Drug Interaction | DrugBank is one-of-a-kind bioinformatics and chemical informatics repository that integrates specific drug data with extensive drug target data. (https://www.drugbank.ca/releases/latest) | The latest version includes 14,522 drug imports, including 2,683 approved small-molecule drugs, 1,644 biology-approved drugs, 131 nutrients, and more than 6,654 experimental drugs | About 5249 extra protein sequences are associated with these drug inputs. Each input contains more than 200 pieces of data, half of which is dedicated to pharmaceuticals/Half of the data is related to chemical data, while the other half is related to target drug or protein data | Inputs such as drugs in MDAD Search have finally created a network of drug and drug interactions involving 5587 interactions with 181 drugs |
Drug Structural Similarity Matrix a Biofilm Drug Virus | Chemical structure search servers are for network analysis and clarifying the relationship between the genomic and chemical importance of metabolic pathways: (http://www.genome.jp/tools/simcomp) The ‘a Biofilm’ (http://bioinfo.imtech.res.in/manojk/abiofilm/): There are three sub-categories in this category, including data visualization, a database, and a prediction module Lists the activities and stages of development of 118 drugs that target 83 human viruses (https://drugvirus.info/tech_doc/) | There are 5027 interactions between 1720 medications and 140 microorganisms in the database of anti-biofilm compounds, which includes gram-negative, gram-positive, and fungal microorganisms The database allows users to explore virus-BSAA (Broad-spectrum antiviral agents) interactions in real time. DrugVirus.info is a free tool that includes a feedback form on its website |  | SIMCOMP is a graph-based method for finding the maximum isomorphism of a common sub graph by finding the maximum number of clicks in the correlation diagram, and SUBCOMP is a broad method for solving the problem of sub graph isoforms |
Human Drug Virus Database (HDVD) | • They devoted significant resources to collecting drug-virus interaction entries from the literature to create the Human Drug Virus Database (HDVD).SCPMF (similarity constrained probabilistic matrix factorization) is a novel technique for identifying new medication-virus interactions for therapeutic repurposing [68] | |||