Prediction of Peptide Vascularization Inhibitory Activity in Tumor Tissue as a Possible Target for Cancer Treatment
The prediction of metabolic activities in silico form is crucial to be able to address all research possibilities without exceeding the experimental costs. In particular, for cancer research, the prediction of certain activities can be of great help in the discovery of different treatments. In this...
Main Authors: | Jose Liñares-Blanco, Carlos Fernandez-Lozano |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-07-01
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Series: | Proceedings |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-3900/21/1/15 |
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