02591nas a2200217   4500008004100000245016400041210006900205260000800274300001400282490000700296520179200303100002002095700002202115700001702137700001902154700002102173700001402194700001802208700001702226856013002243       2016                        eng d00aImproved all-polymer solar cell performance of n-type naphthalene diimide-bithiophene P(NDI2OD-T2) copolymer by incorporation of perylene diimide as coacceptor0 aImproved allpolymer solar cell performance of ntype naphthalene   cNOV  a8113-81250 v493 a<p>Naphthalene diimide-bithiophene P(NDI2OD-T2) is a well-known donor-acceptor polymer, previously explored as n-type material in all-polymer solar cells (all-PSCs) and organic field effect transistor (OFETs) applications. The optical, bulk, electrochemical, and semiconducting properties of P(NDI2OD-T2) polymer were tuned via random incorporation of perylene diimide (PDI) as coacceptor with naphthalene diimide (NDI). Three random copolymers containing 2,2'-bithiophene as donor unit and varying compositions of naphthalene diimide (NDI) and perylene diimide (xPDI, x = 15, 30, and 50 mol % of PDI) as two mixed acceptors were synthesized by Stille coupling copolymerization. Proton NMR spectra recorded in CD Cl-3 showed that the pi-pi stacking induced aggregation among the naphthalene units could be successfully disrupted by the random incorporation of bulky PDI units. The newly synthesized random copolymers were investigated as electron acceptors in BHJ all-PSCs, and their performance was compared with P(NDI2OD-T2) as reference polymer. An enhanced PCE of 5.03% was observed for BHJ all-PSCs (all-polymer solar cells) fabricated using NDI-Th-PDI30 as acceptor and PTB7-Th as donor, while the reference polymer blend with the same donor polymer exhibited PCE of 2.97% efficiency under similar conditions. SCLC bulk carrier mobility measured for blend devices showed improved charge mobility compared to reference polymer, with PTB7-Th:NDI-Th-PDI30 blend device exhibiting the high hole and electron mobility of 4.2 x 10(-4) and 1.5 x 10(-4) cm(2)/(V s), respectively. This work demonstrates the importance of molecular design via random copolymer strategy to control the bulk crystallinity, compatibility, blend morphology, and solar cell performance of n-type copolymers.</p>1 aSharma, Sandeep1 aKolhe, Nagesh, B.1 aGupta, Vinay1 aBharti, Vishal1 aSharma, Abhishek1 aDatt, Ram1 aChand, Suresh1 aAsha, S., K.  uhttps://library.ncl.res.in/content/improved-all-polymer-solar-cell-performance-n-type-naphthalene-diimide-bithiophene-pndi2od02100nas a2200229   4500008004100000022001400041245016900055210006900224260000800293300001200301490000700313520127500320100001801595700001901613700001501632700002301647700001701670700001601687700001701703700001801720856013201738       2024                        eng d  a0006-296000aDevelopment of an in silico platform (TRIPinRNA) for the identification of novel RNA intramolecular triple helices and their validation using biophysical techniques0 aDevelopment of an in silico platform TRIPinRNA for the identific  cDEC  a250-2650 v643 a<p>
	There are surprisingly few RNA intramolecular triple helices known in the human transcriptome. The structure has been most well-studied as a stability-element at the 3 ` end of lncRNAs such as MALAT1 and NEAT1, but the intrigue remains whether it is indeed as rare as it is understood to be or just waiting for a closer look from a new vantage point. TRIPinRNA, our Python-based in silico platform, allows for a comprehensive sequence-pattern search for potential triplex formation in the human transcriptome-noncoding as well as coding. Using this tool, we report the putative occurrence of homopyrimidine type (canonical) triple helices as well as heteropurine-pyrimidine strand type (noncanonical) triple helices in the human transcriptome and validate the formation of both types of triplexes using biophysical approaches. We find that the occurrence of triplex structures has a strong correlation with local GC content, which might be influencing their formation. By employing a search that encompasses both canonical and noncanonical triplex structures across the human transcriptome, this study enriches the understanding of RNA biology. Lastly, TRIPinRNA can be utilized in finding triplex structures for any organism with an annotated transcriptome.</p>
1 aRakheja, Isha1 aBharti, Vishal1 aSahana, S.1 aDas, Prosad, Kumar1 aRanjan, Gyan1 aKumar, Ajit1 aJain, Niyati1 aMaiti, Souvik  uhttps://library.ncl.res.in/content/development-silico-platform-tripinrna-identification-novel-rna-intramolecular-triple-helices