activity
20182023
most citedApplication and Assessment of Deep Learning for the Generation of Potential NMDA Receptor Antagonists

18 citations · 30 across the 10 of their papers we have counts for

collaborators

11 papers

q-bio.QM2023

Identifying metabolites from protein identifiers with P2M

Christine H. Chang, Bryan J. Killinger, Ryan S. Renslow +1

The identification of metabolites from complex biological samples often involves matching experimental mass spectrometry data to signatures of compounds derived from massive chemic…

q-bio.BM2022★ 4 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.QM2021

DEIMoS: an open-source tool for processing high-dimensional mass spectrometry data

Sean M. Colby, Christine H. Chang, Jessica L. Bade +9

We present DEIMoS: Data Extraction for Integrated Multidimensional Spectrometry, a Python application programming interface (API) and command-line tool for high-dimensional mass sp…

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…