posted on 2019-11-05, 16:04authored byJonathan D. Tyzack, Antonio J. M. Ribeiro, Neera Borkakoti, Janet M. Thornton
Transform-MinER (Transforming Molecules
in Enzyme Reactions) is
a web application facilitating the exploration of chemical biosynthetic
space, guiding the user toward promising start points for enzyme design
projects or directed evolution experiments. Two types of search are
possible: Molecule Search allows a user to submit a source substrate
enabling Transform-MinER to search for enzyme reactions acting on
similar substrates, whereas Path Search additionally allows a user
to submit a target molecule enabling Transform-MinER to search for
a path of enzyme reactions acting on similar substrates to link source
and target. Transform-MinER searches for potential reaction centers
in the source substrate and uses chemoinformatic fingerprints to identify
those that are situated in molecular environments similar to native
counterparts, prioritizing steps that move closer to the target using
reactions most similar to native in its exploration of search space.
The ligand-based methodology behind Transform-MinER is presented,
and its performance is validated yielding 90% success rates: first,
on a data set of native pathways from the KEGG database, and second,
on a data set of de novo enzyme reactions.