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For: Cova TFGG, Bento DJ, Nunes SCC. Computational Approaches in Theranostics: Mining and Predicting Cancer Data. Pharmaceutics 2019;11:E119. [PMID: 30871264 DOI: 10.3390/pharmaceutics11030119] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 3.7] [Reference Citation Analysis]
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1 Indoria S, Singh V, Hsieh MF. Recent advances in theranostic polymeric nanoparticles for cancer treatment: A review. Int J Pharm 2020;582:119314. [PMID: 32283197 DOI: 10.1016/j.ijpharm.2020.119314] [Cited by in Crossref: 21] [Cited by in F6Publishing: 12] [Article Influence: 10.5] [Reference Citation Analysis]
2 Mendes M, Cova T, Basso J, Ramos ML, Vitorino R, Sousa J, Pais A, Vitorino C. Hierarchical design of hyaluronic acid-peptide constructs for glioblastoma targeting: Combining insights from NMR and molecular dynamics simulations. Journal of Molecular Liquids 2020;315:113774. [DOI: 10.1016/j.molliq.2020.113774] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
3 Chavda VP, Ertas YN, Walhekar V, Modh D, Doshi A, Shah N, Anand K, Chhabria M. Advanced Computational Methodologies Used in the Discovery of New Natural Anticancer Compounds. Front Pharmacol 2021;12:702611. [PMID: 34483905 DOI: 10.3389/fphar.2021.702611] [Reference Citation Analysis]
4 Stoletov K, Beatty PH, Lewis JD. Novel therapeutic targets for cancer metastasis. Expert Rev Anticancer Ther 2020;20:97-109. [PMID: 31997674 DOI: 10.1080/14737140.2020.1718496] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
5 Smidova V, Michalek P, Goliasova Z, Eckschlager T, Hodek P, Adam V, Heger Z. Nanomedicine of tyrosine kinase inhibitors. Theranostics 2021;11:1546-67. [PMID: 33408767 DOI: 10.7150/thno.48662] [Cited by in Crossref: 8] [Cited by in F6Publishing: 4] [Article Influence: 8.0] [Reference Citation Analysis]
6 Liu B, He H, Luo H, Zhang T, Jiang J. Artificial intelligence and big data facilitated targeted drug discovery. Stroke Vasc Neurol 2019;4:206-13. [PMID: 32030204 DOI: 10.1136/svn-2019-000290] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 3.3] [Reference Citation Analysis]
7 Tan YJ, Lee YT, Mancera RL, Oon CE. BZD9L1 sirtuin inhibitor: Identification of key molecular targets and their biological functions in HCT 116 colorectal cancer cells. Life Sci 2021;:119747. [PMID: 34171380 DOI: 10.1016/j.lfs.2021.119747] [Reference Citation Analysis]
8 Begum NJ, Glatting G, Wester HJ, Eiber M, Beer AJ, Kletting P. The effect of ligand amount, affinity and internalization on PSMA-targeted imaging and therapy: A simulation study using a PBPK model. Sci Rep 2019;9:20041. [PMID: 31882829 DOI: 10.1038/s41598-019-56603-8] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]
9 Baghban R, Roshangar L, Jahanban-Esfahlan R, Seidi K, Ebrahimi-Kalan A, Jaymand M, Kolahian S, Javaheri T, Zare P. Tumor microenvironment complexity and therapeutic implications at a glance. Cell Commun Signal 2020;18:59. [PMID: 32264958 DOI: 10.1186/s12964-020-0530-4] [Cited by in Crossref: 95] [Cited by in F6Publishing: 111] [Article Influence: 47.5] [Reference Citation Analysis]