activity
20182022
most citedAI for Chemical Space Gap Filling and Novel Compound Generation

4 citations · 4 across the 4 of their papers we have counts for

collaborators

8 papers

q-bio.BM20224 cited

AI for Chemical Space Gap Filling and Novel Compound Generation

Monee Y. McGrady, Sean M. Colby, Jamie R Nuñez +2

When considering large sets of molecules, it is helpful to place them in the context of a "chemical space" - a multidimensional space defined by a set of descriptors that can be us…

q-bio.BM2021

SPECTRe: Substructure Processing, Enumeration, and Comparison Tool Resource: An efficient tool to encode all substructures of molecules represented in SMILES

Yasemin Yesiltepe, Ryan S. Renslow, Thomas O. Metz

Functional groups and moieties are chemical descriptors of biomolecules that can be used to interpret their properties and functions, leading to the understanding of chemical or bi…

q-bio.BM2021

A Validated Method for Predicting Small Molecule Ionization Sites using Gibb's Free Energies

Jessica L. Bade, Sean M. Colby, Ryan S. Renslow +1

Accurate molecular identification of metabolites can unlock new areas of the molecular universe and allow greater insight into complex biological and environmental systems than cur…

q-bio.QM2021

Collision cross section specificity for small molecule identification workflows

Jamie Nunez, Eva Brayfindley, Sean M. Colby +4

The physical-chemical property of molecular collision cross section (CCS) is increasingly used to assist in small molecule identification; however, questions remain regarding the e…

q-bio.BM2021

Similarity Downselection: A Python implementation of a heuristic search algorithm for finding the set of the n most dissimilar items with an application in conformer sampling

Felicity F. Nielson, Sean M. Colby, Ryan S. Renslow +1

Finding the set of the n items most dissimilar from each other out of a larger population becomes increasingly difficult and computationally expensive as either n or the population…

physics.chem-ph2020

Exploring the impacts of conformer selection methods on ion mobility collision cross section predictions

Felicity F. Nielson, Sean M. Colby, Dennis G. Thomas +2

The prediction of structure dependent molecular properties, such as collision cross sections as measured using ion mobility spectrometry, are crucially dependent on the selection o…