Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
ACS Appl Mater Interfaces ; 9(17): 14967-14973, 2017 May 03.
Article in English | MEDLINE | ID: mdl-28398714

ABSTRACT

Until now, only limited DPP oligomers delivered ambipolar semiconductor characteristics. To develop a facile strategy of preparing ambipolar mono-DPP oligomers, two dithienyl diketopyrrolopyrrole (DPPT) based-conjugated molecules, DPPT-RD and DPPT-DCV, which contain 3-ethylrhodanine (RD) and dicyano-2-vinyl (DCV) end substituents were synthesized. The influences of the -RD end substituents on the molecular properties, solid-state morphology, and OFET performances of the DPPT oligomer were investigated. The UV-vis absorption and CV results showed that the RD end substituents provide the DPPT oligomer suitable EHOMO and ELUMO for hole and electron injection from the Au source-drain electrodes. Moreover, the RD end substituents also improve the crystalline nature of the DPPT oligomer. That is, DPPT-RD can form crystal arrays with good lattice orientation, larger crystalline size, and without polymorphism. With those properties, DPPT-RD thus display ambipolar characteristic with µh and µe reaching 2.16 × 10-2 and 7.27 × 10-2 cm2 V-1 s-1, respectively.

2.
Comput Biol Med ; 43(9): 1196-204, 2013 Sep.
Article in English | MEDLINE | ID: mdl-23930814

ABSTRACT

Protein complex prediction approaches are based on the assumptions that complexes have dense protein-protein interactions and high functional similarity between their subunits. We investigated those assumptions by studying the subunits' interaction topology, sequence similarity and molecular function for human and yeast protein complexes. Inclusion of amino acids' physicochemical properties can provide better understanding of protein complex properties. Principal component analysis is carried out to determine the major features. Adopting amino acid composition profile information with the SVM classifier serves as an effective post-processing step for complexes classification. Improvement is based on primary sequence information only, which is easy to obtain.


Subject(s)
Saccharomyces cerevisiae Proteins/classification , Saccharomyces cerevisiae Proteins/genetics , Saccharomyces cerevisiae/genetics , Sequence Analysis, Protein/methods , Humans , Predictive Value of Tests
SELECTION OF CITATIONS
SEARCH DETAIL
...