Literature DB >> 23039907

Modeling biological activities of nanoparticles.

V Chandana Epa1, Frank R Burden, Carlos Tassa, Ralph Weissleder, Stanley Shaw, David A Winkler.   

Abstract

Products are increasingly incorporating nanomaterials, but we have a poor understanding of their adverse effects. To assess risk, regulatory authorities need more experimental testing of nanoparticles. Computational models play a complementary role in allowing rapid prediction of potential toxicities of new and modified nanomaterials. We generated quantitative, predictive models of cellular uptake and apoptosis induced by nanoparticles for several cell types. We illustrate the potential of computational methods to make a contribution to nanosafety.

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Year:  2012        PMID: 23039907     DOI: 10.1021/nl303144k

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   11.189


  24 in total

Review 1.  Imaging macrophages with nanoparticles.

Authors:  Ralph Weissleder; Matthias Nahrendorf; Mikael J Pittet
Journal:  Nat Mater       Date:  2014-02       Impact factor: 43.841

2.  Machine learning provides predictive analysis into silver nanoparticle protein corona formation from physicochemical properties.

Authors:  Matthew R Findlay; Daniel N Freitas; Maryam Mobed-Miremadi; Korin E Wheeler
Journal:  Environ Sci Nano       Date:  2017-11-01

3.  Physicochemical signatures of nanoparticle-dependent complement activation.

Authors:  Dennis G Thomas; Satish Chikkagoudar; Alejandro Heredia-Langer; Mark F Tardiff; Zhixiang Xu; Dennis E Hourcade; Christine T N Pham; Gregory M Lanza; Kilian Q Weinberger; Nathan A Baker
Journal:  Comput Sci Discov       Date:  2014-03-21

Review 4.  Toward a systematic exploration of nano-bio interactions.

Authors:  Xue Bai; Fang Liu; Yin Liu; Cong Li; Shenqing Wang; Hongyu Zhou; Wenyi Wang; Hao Zhu; David A Winkler; Bing Yan
Journal:  Toxicol Appl Pharmacol       Date:  2017-03-24       Impact factor: 4.219

5.  Predicting Nano-Bio Interactions by Integrating Nanoparticle Libraries and Quantitative Nanostructure Activity Relationship Modeling.

Authors:  Wenyi Wang; Alexander Sedykh; Hainan Sun; Linlin Zhao; Daniel P Russo; Hongyu Zhou; Bing Yan; Hao Zhu
Journal:  ACS Nano       Date:  2017-11-22       Impact factor: 15.881

Review 6.  Sparse QSAR modelling methods for therapeutic and regenerative medicine.

Authors:  David A Winkler
Journal:  J Comput Aided Mol Des       Date:  2018-02-14       Impact factor: 3.686

Review 7.  Antibacterial Metal Oxide Nanoparticles: Challenges in Interpreting the Literature.

Authors:  Usha Kadiyala; Nicholas A Kotov; J Scott VanEpps
Journal:  Curr Pharm Des       Date:  2018       Impact factor: 3.116

Review 8.  Big Data and Artificial Intelligence Modeling for Drug Discovery.

Authors:  Hao Zhu
Journal:  Annu Rev Pharmacol Toxicol       Date:  2019-09-13       Impact factor: 13.820

9.  Evaluating the cytotoxicity of a large pool of metal oxide nanoparticles to Escherichia coli: Mechanistic understanding through In Vitro and In Silico studies.

Authors:  Supratik Kar; Kavitha Pathakoti; Paul B Tchounwou; Danuta Leszczynska; Jerzy Leszczynski
Journal:  Chemosphere       Date:  2020-09-25       Impact factor: 7.086

10.  Computer-aided design of carbon nanotubes with the desired bioactivity and safety profiles.

Authors:  Denis Fourches; Dongqiuye Pu; Liwen Li; Hongyu Zhou; Qingxin Mu; Gaoxing Su; Bing Yan; Alexander Tropsha
Journal:  Nanotoxicology       Date:  2015-11-02       Impact factor: 5.913

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