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AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest
The use of therapeutic peptides in various inflammatory diseases and autoimmune disorders has received considerable attention; however, the identification of anti-inflammatory peptides (AIPs) through wet-lab experimentation is expensive and often time consuming. Therefore, the development of novel c...
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| 出版年: | Front Pharmacol |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5881105/ https://ncbi.nlm.nih.gov/pubmed/29636690 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fphar.2018.00276 |
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