Publication

Encapsulation of Pyrene-Functionalized Poly(benzyl ether) Dendrons into a Water-Soluble Organometallic Cage

Olivier Pierre Zava
2011
Journal Articles

Abstract

Two generations of lipophilic pyrenyl functionalized poly(benzyl ether) dendrimers (P-1 and P-2) have been synthesized. The thermal properties of the two functionalized dendrimers have been investigated, and the pyrenyl group of the dendritic molecules encapsulated in the arene-ruthenium metalla-cage, Ru-6(p-cymene)(6) (tpt)(2)(donq)(3) (1) (tpt=2,4,6-tri-(pyridin-4-yl)-1,3,5-triazine; donq=5,8-dioxydo-1,4-naphthoquinonato). The host-guest properties of P-1 subset of 1 and P-2 subset of 1 were studied in solution by NMR and UV/Vis spectroscopic methods, thus allowing the determination of the affinity constants. Moreover, the cytotoxicity of these water-soluble host-guest systems was evaluated on human ovarian cancer cells.

Official source

https://infoscience.epfl.ch/entities/publication/94e112bd-8c80-44d8-8297-27155ce45070

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Olivier Pierre Zava
2011
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/94e112bd-8c80-44d8-8297-27155ce45070

About this result

Related concepts (22)

P (complexity)

In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is a fundamental complexity class. It contains all decision problems that can be solved by a deterministic Turing machine using a polynomial amount of computation time, or polynomial time. Cobham's thesis holds that P is the class of computational problems that are "efficiently solvable" or "tractable". This is inexact: in practice, some problems not known to be in P have practical solutions, and some that are in P do not, but this is a useful rule of thumb.

Subset sum problem

The subset sum problem (SSP) is a decision problem in computer science. In its most general formulation, there is a multiset of integers and a target-sum , and the question is to decide whether any subset of the integers sum to precisely . The problem is known to be NP-hard. Moreover, some restricted variants of it are NP-complete too, for example: The variant in which all inputs are positive. The variant in which inputs may be positive or negative, and . For example, given the set , the answer is yes because the subset sums to zero.

P versus NP problem

The P versus NP problem is a major unsolved problem in theoretical computer science. In informal terms, it asks whether every problem whose solution can be quickly verified can also be quickly solved. The informal term quickly, used above, means the existence of an algorithm solving the task that runs in polynomial time, such that the time to complete the task varies as a polynomial function on the size of the input to the algorithm (as opposed to, say, exponential time).

Related publications (22)

Encapsulation of Pyrene-Functionalized Poly(benzyl ether) Dendrons into a Water-Soluble Organometallic Cage

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