1. Computing and modelling: Analog vs. Analogue
Philippos Papayannopoulos Stud Hist Philos Sci . 2020 Oct;83:103-120. doi: 10.1016/j.shpsa.2020.05.001.
We examine the interrelationships between analog computational modelling and analogue (physical) modelling. To this end, we attempt a regimentation of the informal distinction between analog and digital, which turns on the consideration of computing in a broader context. We argue that in doing so, one comes to see that (scientific) computation is better conceptualised as an epistemic process relative to agents, wherein representations play a key role. We distinguish between two, conceptually distinct, kinds of representation that, we argue, are both involved in each case of computing. Based on the semantic and syntactic properties of each of these representations, we put forward a new account of the distinction between analog and digital computing. We discuss how the developed account is able to explain various properties of different models of computation, and we conceptually compare analog computational modelling to analogue (scale) modelling. It is concluded that, contrary to the standard view, the two practices are orthogonal, differing both in their foundations and in the epistemic functions they fulfil.
2. Bisubstrate analogues as glycosyltransferase inhibitors
Masayuki Izumi, Hironobu Hashimoto, Hideya Yuasa Curr Top Med Chem . 2009;9(1):87-105. doi: 10.2174/156802609787354351.
Oligosaccharides in glycoconjugates such as glycoproteins and glycolipids play important roles in a variety of biological functions. Since glycosyltransferases are responsible for the biosynthesis of these oligosaccharides, inhibitors of glycosyltransferases are targets for drug discovery. Bisubstrate analogues, in which donor and acceptor analogue are covalently attached to each other, offer donor's high affinity and acceptor's high selectivity. In this review, we describe the design and synthesis of bisubstrate analogues of glycosyltransferases as well as their inhibitory potency hoping to inform the development of potent and selective inhibitors.
3. Detecting analogies unconsciously
Peter Boesiger, Roger Luechinger, Katharina Henke, Thomas P Reber Front Behav Neurosci . 2014 Jan 22;8:9. doi: 10.3389/fnbeh.2014.00009.
Analogies may arise from the conscious detection of similarities between a present and a past situation. In this functional magnetic resonance imaging study, we tested whether young volunteers would detect analogies unconsciously between a current supraliminal (visible) and a past subliminal (invisible) situation. The subliminal encoding of the past situation precludes awareness of analogy detection in the current situation. First, participants encoded subliminal pairs of unrelated words in either one or nine encoding trials. Later, they judged the semantic fit of supraliminally presented new words that either retained a previously encoded semantic relation ("analog") or not ("broken analog"). Words in analogs versus broken analogs were judged closer semantically, which indicates unconscious analogy detection. Hippocampal activity associated with subliminal encoding correlated with the behavioral measure of unconscious analogy detection. Analogs versus broken analogs were processed with reduced prefrontal but enhanced medial temporal activity. We conclude that analogous episodes can be detected even unconsciously drawing on the episodic memory network.
