Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Reverse engineering chemical structures from molecular descriptors : how many solutions?

Journal Article · · Proposed for publication in the Journal of Computer Aided Molecular Design.
OSTI ID:970736
Physical, chemical and biological properties are the ultimate information of interest for chemical compounds. Molecular descriptors that map structural information to activities and properties are obvious candidates for information sharing. In this paper, we consider the feasibility of using molecular descriptors to safely exchange chemical information in such a way that the original chemical structures cannot be reverse engineered. To investigate the safety of sharing such descriptors, we compute the degeneracy (the number of structure matching a descriptor value) of several 2D descriptors, and use various methods to search for and reverse engineer structures. We examine degeneracy in the entire chemical space taking descriptors values from the alkane isomer series and the PubChem database. We further use a stochastic search to retrieve structures matching specific topological index values. Finally, we investigate the safety of exchanging of fragmental descriptors using deterministic enumeration.
Research Organization:
Sandia National Laboratories
Sponsoring Organization:
USDOE
DOE Contract Number:
AC04-94AL85000
OSTI ID:
970736
Report Number(s):
SAND2005-3367J
Journal Information:
Proposed for publication in the Journal of Computer Aided Molecular Design., Journal Name: Proposed for publication in the Journal of Computer Aided Molecular Design.
Country of Publication:
United States
Language:
English

Similar Records

Machine Learning for Prediction of Thermodynamic Descriptors
Technical Report · Fri Sep 29 00:00:00 EDT 2023 · OSTI ID:2203236

Modular Chemical Descriptor Language (MCDL): Stereochemical modules
Journal Article · Fri Dec 31 23:00:00 EST 2010 · Journal of Cheminformatics · OSTI ID:1018239

Interpretation and Automatic Generation of Fermi‐Orbital Descriptors
Journal Article · Mon Sep 09 20:00:00 EDT 2019 · Journal of Computational Chemistry · OSTI ID:1560903