‘Just Google It?’: Pupils’ Perceptions and Experience of Research in the Secondary Classroom

While numerous studies examine perceptions of research held by university researchers, studies examining perceptions held by school pupils are rare. To address this gap and following analysis of questionnaire data (N = 2634, KS3/4/5 pupils), we conducted 11 group interviews with 100 pupils in England to investigate their experiences of research during schooling and their perceptions of how research is conceived, conducted and where its utility and significance lie. Thematic analysis of the interview data – informed by Angela Brew’s 4-tier descriptor of perceptions of research (domino, trading, layer, journey), Jenni Stubb's and colleagues' elaboration of this descriptor, Jan Meyer's and colleagues' conceptions of research inventory (CoRI) and Diane Bills’ distinction between Research and research – led to seven themes. Here we elaborate the most significant of these themes: fact finding as research; who formulates and owns a research question; and the friction between uninformed opinion and informed view. We conclude that secondary pupils’ experiences and perceptions of research, while overall relatively rich, vary across different disciplines. We also conclude that pupils would benefit substantially from more comprehensive engagement with research processes, and we observe the role that qualifications such as the Extended Project Qualification can play in fostering said engagement

The Proteomic Code: a molecular recognition code for proteins

<p>Abstract</p> <p>Background</p> <p>The Proteomic Code is a set of rules by which information in genetic material is transferred into the physico-chemical properties of amino acids. It determines how individual amino acids interact with each other during folding and in specific protein-protein interactions. The Proteomic Code is part of the redundant Genetic Code.</p> <p>Review</p> <p>The 25-year-old history of this concept is reviewed from the first independent suggestions by Biro and Mekler, through the works of Blalock, Root-Bernstein, Siemion, Miller and others, followed by the discovery of a Common Periodic Table of Codons and Nucleic Acids in 2003 and culminating in the recent conceptualization of partial complementary coding of interacting amino acids as well as the theory of the nucleic acid-assisted protein folding.</p> <p>Methods and conclusions</p> <p>A novel cloning method for the design and production of specific, high-affinity-reacting proteins (SHARP) is presented. This method is based on the concept of proteomic codes and is suitable for large-scale, industrial production of specifically interacting peptides.</p

Nucleic acid sequences coding for internal antisense peptides: are there implications for protein folding and evolution?

We have asked whether coding segments of nucleic acids generate amino acid sequences which have an antisense relationship to other amino acid sequences in the same chain (i.e. 'Internal Antisense'), and if so, could the internal antisense content be related to the structure of the encoded protein? Computer searches were conducted with the coding sequences for 132 proteins. The result for each search of a specific sequence was compared to the mean result obtained from 1000 randomly assembled nucleic acid chains whose length and base composition were identical to that of the native sequences. The study was conducted in all three reading frames. The normal reading frame (frame one) was found to be contain lower amounts of internal antisense than the randomly assembled chains, whereas the frame two results were much higher. The internal antisense content in frame three was not significantly different from that in the random chains. The amount of internal antisense in frames two and three was correlated with the GC content at the center position of the codons in that frame, but this correlation was absent in frame one. No correlation with chain length was found. Qualitatively similar results were obtained when the random model was limited to retain the same purine/pyrimidine ratio as the native chains at each position in the codons, but in this case the internal antisense in frame three was also significantly greater than the computer-generated sequences. The results suggest that the internal antisense content in the correct reading frame has a qualitatively different origin from that in the other two frames. The high amount in frames two and three is apparently an artifact resulting from the asymmetric distribution of G and C in the codons, while the low amount in frame one may suggest evolutionary selection against internal antisense. Thus, the results do not support a relationship between internal antisense and protein structure