POxload: Machine Learning Estimates Drug Loadings of Polymeric Micelles-Reference-Cited by-同舟云学术

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POxload: Machine Learning Estimates Drug Loadings of Polymeric Micelles

Published:2024-05-28 Issue:7 Volume:21 Page:3356-3374
ISSN:1543-8384
Container-title:Molecular Pharmaceutics
language:en
Short-container-title:Mol. Pharmaceutics

Author:

Kehrein Josef¹²^ORCID,Bunker Alex²^ORCID,Luxenhofer Robert¹^ORCID

Affiliation:

1. Soft Matter Chemistry, Department of Chemistry, Faculty of Science, University of Helsinki, A. I. Virtasen aukio 1, 00014 Helsinki, Finland

2. Drug Research Program, Division of Pharmaceutical Biosciences Faculty of Pharmacy, University of Helsinki, Viikinkaari 5 E, 00014 Helsinki, Finland

Funder

Deutscher Akademischer Austauschdienst

Research Council of Finland

CSC - IT Center of Science

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.molpharmaceut.4c00086

Reference138 articles.

1. Strategies for formulating and delivering poorly water-soluble drugs

2. Insoluble drug delivery strategies: review of recent advances and business prospects

3. Development of Pharmaceutical Nanomedicines: From the Bench to the Market

4. Mechanistic Understanding From Molecular Dynamics Simulation in Pharmaceutical Research 1: Drug Delivery

5. A Review on Applications of Computational Methods in Drug Screening and Design

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