2019
DOI: 10.1016/j.cocis.2018.12.004
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Multiscale modeling and simulations of protein adsorption: progresses and perspectives

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Cited by 69 publications
(48 citation statements)
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“…Charged adsorbent surfaces exert a force on the dipole and can thereby promote a certain orientation, resulting in highly ordered layers of adsorbed protein on charged surfaces. 64 It has also been shown that it is possible to control the orientation of an adsorbing peptide through varying the electric field, either by pH or an externally applied potential. 65 The surface charge density determines the strength of the electrostatic attraction, and for enzyme haloalkane dehalogenase, the catalytic activity was preserved best upon adsorption on intermediate charged surfaces.…”
Section: Resultsmentioning
confidence: 99%
“…Charged adsorbent surfaces exert a force on the dipole and can thereby promote a certain orientation, resulting in highly ordered layers of adsorbed protein on charged surfaces. 64 It has also been shown that it is possible to control the orientation of an adsorbing peptide through varying the electric field, either by pH or an externally applied potential. 65 The surface charge density determines the strength of the electrostatic attraction, and for enzyme haloalkane dehalogenase, the catalytic activity was preserved best upon adsorption on intermediate charged surfaces.…”
Section: Resultsmentioning
confidence: 99%
“…The scarcity of quality data and comprehensive databases is the major bottleneck in the application of ML to predict nanomaterials immune reactions (175,176). Data-driven strategies have been making important advances in modeling biological phenomena that have potential usage to evaluate nano-immune interactions, such as predicting biomolecular corona compositions (177)(178)(179)(180)(181), and nanomaterials and cell interactions (e.g., cell uptake, cytotoxicity, membrane integrity, oxidative stress) (182)(183)(184)(185). Furthermore, the exploration of omics approaches (e.g., genomics, transcriptomics, and metabolomics) has promoting the development of ML models to process the complex data generated by these techniques and enables a better understanding of the molecular mechanisms of nanomaterials adverse effects in a systemic context, defining and predicting adverse outcome pathways (186)(187)(188)(189).…”
Section: Nanoinformatics Approaches Toward Immunosafety-by-designmentioning
confidence: 99%
“…Protein adsorption on the implant surface is one of the first biological events that occurs when a foreign material is placed in the human body and comes into contact with body fluids [ 1 , 2 , 3 , 4 ]. The adsorption of proteins at biomaterials surfaces is a complex process [ 5 , 6 , 7 , 8 ]. Proteins can be attached to a surface in diverse quantities, densities, conformations and orientations.…”
Section: Introductionmentioning
confidence: 99%