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Highly predictive support vector machine (SVM) models for anthrax toxin lethal factor (LF) inhibitors
Xia Zhang,
Elizabeth Ambrose Amin
Medicinal Chemistry
Research output
:
Contribution to journal
›
Article
›
peer-review
9
Scopus citations
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Dive into the research topics of 'Highly predictive support vector machine (SVM) models for anthrax toxin lethal factor (LF) inhibitors'. Together they form a unique fingerprint.
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Engineering & Materials Science
Bacilli
90%
Support vector machines
66%
Metalloproteases
39%
Cell signaling
32%
Bioassay
31%
Antibiotics
29%
Bioactivity
28%
Scaffolds
24%
Toxicity
24%
Enzymes
24%
Bacteria
23%
Large dataset
22%
Zinc
22%
Molecules
20%
Proteins
19%
Physics & Astronomy
inhibitors
97%
Bacillus
33%
deactivation
18%
selectivity
15%
pathogenesis
13%
bioassay
12%
antibiotics
11%
clearing
10%
activity (biology)
10%
infectious diseases
10%
toxicity
10%
death
9%
predictions
8%
bacteria
8%
enzymes
8%
zinc
7%
rods
6%
proteins
6%
molecules
4%
Chemical Compounds
Lethal
100%
Toxin
80%
Chemical Substance Type
10%
Bioassay
7%
Bioactivity
5%
Antimicrobial Agent
5%
Protein
3%
Molecule
2%