many AI tools do not cover the five levels of AMP discovery and design [
what are these levels? basic screening to clinical trials?
many AI tools do not cover the five levels of AMP discovery and design [
what are these levels? basic screening to clinical trials?
there is protein synthesis,phospholipases, capsular polysaccharides, lipopolysaccharides, membrane and QS pro-teins, metal absorption, cytokines and biofilms [ 152 ,156 ].
not as familiar w/ these AB virulence factors
ackbone sampling, side-chainoptimization and energy-based refinement
more details on these methods?
nonlinear interactions between features
'nonlinear interactions' is thrown around often; just a behavior that causes exponential or multi-faceted consequences?
ecision trees trained on bootstrapped subsets of the data
maybe familiar? random forests use decision trees -> like a flow chart?
k-mer frequencies, dipeptideand tripeptide motifs, pseudo-amino acid composition
are these all bad for AMP effectiveness?
Featureextraction,
vaguely familiar; just looking for specific qualities? generating specific qualities?
de novo peptide design and multi-objective optimization, integrating activity, selectivityand stability considerations into the design process
not very familiar with these; have heard of de novo peptide design and selectivity/stability considerations
Employees were ‘free’ to negotiate a work contract to their liking within the context of accepting the ‘prerogatives’ of managers to organised and remunerate their efforts as they saw fit (Fox, 1974).
Tufekci, Z. (2020, September 30). UThis Overlooked Variable Is the Key to the Pandemic. The Atlantic. https://www.theatlantic.com/health/archive/2020/09/k-overlooked-variable-driving-pandemic/616548/
***By which I mean, it’s even in Wikipedia
Doesn't give reference on how the physicist detector models are known in wikipedia
Actually, I didn’t need Holmesian deductions to conclude that Aad et al. aren’t using a conventional definition of authorship. It’s widely known*** that at least two groups in experimental particle physics operate under the policy that every scientist or engineer working on a particular detector is an author on every paper arising from that detector’s data. (Two such detectors at the Large Hadron Collider were used in the Aad et al paper, so the author list is the union of the “ATLAS collaboration” and the “CMS collaboration”.) The result of this authorship policy, of course, is lots of “authorships” for everyone: for the easily searchable George Aad, for instance, over 400 since 2008.
Physicists authorship models
Does mega-authorship threaten our concept of authorship in science? It would be easy, and fun, to write with a scandalized tone about how mega-authorship corrupts all that is good and decent about scientific publishing. But does it really matter? I think both yes and (mostly) no.
thesis: a little yes, but mostly no megaauthorship doesn't do harm
Does mega-authorship matter?
Heard, Stephen. 2015. “Does Mega-Authorship Matter?” Scientist Sees Squirrel. August 18. https://scientistseessquirrel.wordpress.com/2015/08/18/does-mega-authorship-matter/.