Studies in the extensively automatic construction of large odds-based inference networks from structured data. Examples from medical, bioinformatics, and health insurance claims data

Computers and viral diseases. Preliminary bioinformatics studies on the design of a synthetic vaccine and a preventative peptidomimetic antagonist against the SARS-CoV-2 (2019-nCoV, COVID-19) coronavirus

“…The theory behind Q-UEL has been described and developed in several essentially mathematical papers. Refs [28][29][30][31][32][33][34][35][36] provide a more relevant and applied mathematical account, in conjunction with algorithm and software development. Ref [28] provided the first detailed description of the Q-UEL language as a means of interacting with the World Wide Web and potentially proving the basis of a "Thinking Web" for medicine, primarily by rendering the emerging Semantic Web as more fundamentally probabilistic [28].…”

“…difference from previous genomics use cases for Q-UEL [36] is that the notion of types of coronavirus and strain replaced the notion of human patient. The specific software of the decision support system interacting with the Internet was the more recent BioIngine implementation of Q-UEL and associated software applications [29][30][31][32][33][34][35]. These applications generate and use Q-UEL tags to extract, communicate knowledge and draw conclusions from it by automated inference.…”

“…GOR method predictions that also make use of alignment of sequences from many homologous proteins were not used, because they are deliberately designed to be influenced by the conformational preferences of residues in compact folded motifs. Similarly the intrinsic Q-UEL learning approach applied to predicting secondary structure [34] was not used. Fig.…”

“…2 in that paper illustrates the point. It shows that after circa 150 arbitrarily selected proteins are brought into the training set., the predictions begin to change and improve dramatically as more and more homologous proteins of similar folded structure are encountered and the coverage of sampled proteins spans the commoner protein families Obvious pre-known homologues were discarded in that study [34], but the above concern still applies.…”

COVID-19 Coronavirus spike protein analysis for synthetic vaccines, a peptidomimetic antagonist, and therapeutic drugs, and analysis of a proposed achilles’ heel conserved region to minimize probability of escape mutations and drug resistance

“…See also ref [33]. More recently there has been an automated approach based on the proposed Q-UEL language [34][35][36][37]. The more fine-grained principles for the design of synthetic peptide vaccines, and antagonist peptides made of D-amino acids, are discussed in some detail in the previous paper [3].…”