Computer-aided design of carbon nanotubes with the desired bioactivity and safety profiles (Q28829021)

1

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Qingxin Mu

object named as

Qingxin Mu

5

1 reference

ORCID Public Data File 2021

author name string

Dongqiuye Pu

2

0 references

Liwen Li

3

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Hongyu Zhou

4

0 references

Gaoxing Su

6

0 references

Bing Yan

Chemical basis of interactions between engineered nanoparticles and biological systems

7

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language of work or name

English

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publication date

2016

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published in

Nanotoxicology

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volume

10

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issue

3

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page(s)

374-83

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cites work

1 reference

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Repeated administrations of carbon nanotubes in male mice cause reversible testis damage without affecting fertility

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Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests

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Best Practices for QSAR Model Development, Validation, and Exploitation

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Safe handling of nanotechnology

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Protein binding modulates the cellular uptake of silver nanoparticles into human cells: implications for in vitro to in vivo extrapolations?

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QSAR as a random event: modeling of nanoparticles uptake in PaCa2 cancer cells

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Dependence of QSAR models on the selection of trial descriptor sets: a demonstration using nanotoxicity endpoints of decorated nanotubes.

3 June 2018

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Recent advances in graphene family materials toxicity investigations

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Modeling biological activities of nanoparticles

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Exploring quantitative nanostructure-activity relationships (QNAR) modeling as a tool for predicting biological effects of manufactured nanoparticles

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Reducing nanotube cytotoxicity using a nano-combinatorial library approach

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Modeling liver-related adverse effects of drugs using knearest neighbor quantitative structure-activity relationship method

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Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species

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Functionalized carbon nanotubes specifically bind to alpha-chymotrypsin's catalytic site and regulate its enzymatic function

3 June 2018

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Use of cell viability assay data improves the prediction accuracy of conventional quantitative structure-activity relationship models of animal carcinogenicity

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Combinatorial QSAR modeling of chemical toxicants tested against Tetrahymena pyriformis

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A nano-combinatorial library strategy for the discovery of nanotubes with reduced protein-binding, cytotoxicity, and immune response

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Weighted feature significance: a simple, interpretable model of compound toxicity based on the statistical enrichment of structural features

3 June 2018

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Nanoparticle dispersity in toxicology.

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Nanotechnology, energy and markets

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Charge density effects on the aggregation properties of poly(p-phenylene-ethynylene)-based anionic polyelectrolytes

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Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles

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Nanotoxicology. Nanotechnology grows up.

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ISIDA - Platform for Virtual Screening Based on Fragment and Pharmacophoric Descriptors

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Medicinal chemistry and the molecular operating environment (MOE): application of QSAR and molecular docking to drug discovery

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Novel variable selection quantitative structure--property relationship approach based on the k-nearest-neighbor principle

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Nano-quantitative structure–activity relationship modeling using easily computable and interpretable descriptors for uptake of magnetofluorescent engineered nanoparticles in pancreatic cancer cells

21 January 2018

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Statistical Significance of Clustering for High-Dimension, Low–Sample Size Data

21 January 2018

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Nanotechnologies, engineered nanomaterials and occupational health and safety – A review

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Nanomaterial cell interactions: how do carbon nanotubes affect cell physiology?

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12 December 2020

Nano-combinatorial chemistry strategy for nanotechnology research

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12 December 2020

Nano-combinatorial and catalyst screening technologies

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12 December 2020

Predicting toxicity of nanoparticles

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12 December 2020

Construction of coherent nano quantitative structure–properties relationships (nano-QSPR) models and catastrophe theory

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12 December 2020