The Monte Carlo Method Based on Eclectic Data as an Efficient Tool for Predictions of Endpoints for Nanomaterials - Two Examples of Application-Reference-Cited by-同舟云学术

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The Monte Carlo Method Based on Eclectic Data as an Efficient Tool for Predictions of Endpoints for Nanomaterials - Two Examples of Application

Published:2015-04-30 Issue:4 Volume:18 Page:376-386
ISSN:1386-2073
Container-title:Combinatorial Chemistry & High Throughput Screening
language:en
Short-container-title:CCHTS

Author:

Toropov Andrey,Toropova Alla,Veselinovic Aleksandar,Veselinovic Jovana,Nesmerak Karel,Jr Ivan,Duchowicz Pablo,Castro Eduardo,Kudyshkin Valentin,Leszczynska Danuta,Leszczynski Jerzy

Publisher

Bentham Science Publishers Ltd.

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The CORAL Software as a Tool to Develop Models for Nanomaterials’ Endpoints;Challenges and Advances in Computational Chemistry and Physics;2023

2. Nanomaterials: Quasi-SMILES as a flexible basis for regulation and environmental risk assessment;Science of The Total Environment;2022-06

3. Quasi-QSAR for predicting the cell viability of human lung and skin cells exposed to different metal oxide nanomaterials;Chemosphere;2019-02

4. Use of quasi-SMILES to model biological activity of “micelle–polymer” samples;Structural Chemistry;2018-05-02

5. Application of Monte Carlo calculation method based on special graph in medical imaging;Cluster Computing;2018-03-10

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