Modern machine learning for tackling inverse problems in chemistry: molecular design to realization

B Sridharan, M Goel, UD Priyakumar - Chemical Communications, 2022 - pubs.rsc.org
… Even though this is not exactly an inverse problem, we are discussing it briefly in this article
as it fits in the overarching task of leading a molecule from design to realization. Once we …

Inverse molecular design using machine learning: Generative models for matter engineering

B Sanchez-Lengeling, A Aspuru-Guzik - Science, 2018 - science.org
… Here, we review methods for achieving inverse design, which aims to discover tailored … of
ideas, where approaches to inverse molecular design are being proposed and employed at a …

Deep learning to catalyze inverse molecular design

AS Alshehri, F You - Chemical Engineering Journal, 2022 - Elsevier
… of deep learning to inverse molecular design has outpaced … molecular design paradigms.
Herein, we provide an overview of the element of computational inverse molecular design and …

Deep reinforcement learning for molecular inverse problem of nuclear magnetic resonance spectra to molecular structure

B Sridharan, S Mehta, Y Pathak… - The Journal of Physical …, 2022 - ACS Publications
molecule are highly information-rich, yet the inverse relation of spectra to the corresponding
molecular structure is still an unsolved problem. … to solve this inverse problem by navigating …

Actively searching: inverse design of novel molecules with simultaneously optimized properties

NC Iovanac, R MacKnight… - The Journal of Physical …, 2022 - ACS Publications
Combining quantum chemistry characterizations with generative machine learning models
has the potential to accelerate molecular discovery. In this paradigm, quantum chemistry acts …

Virtual Darwinian Drug Design QSAR Inverse Problem, Virtual Combinatorial Chemistry, and Computational Screening.

JV De Julian-Ortiz - Combinatorial Chemistry & High …, 2001 - ingentaconnect.com
… selection step is determinant for the success of every method of molecular design. The
touchstone in the intelligent solving of problems is based on the reduction of random search. …

Tartarus: A benchmarking platform for realistic and practical inverse molecular design

AK Nigam, R Pollice, G Tom, K Jorner… - Advances in …, 2023 - proceedings.neurips.cc
… more realistic molecular design benchmarks, and move the development of inverse
molecular design algorithms closer to designing molecules that solve existing problems in both …

Evaluation of an inverse molecular design algorithm in a model binding site

DJ Huggins, MD Altman, B Tidor - Proteins: Structure, Function …, 2009 - Wiley Online Library
… docking, in particular with the scoring functions that are employed, but inverse design
of our inverse design approach to the engineered W191G CCP site with a set of small-molecule

Acceleration of inverse molecular design by using predictive techniques

JL Teunissen, F De Proft… - Journal of Chemical …, 2019 - ACS Publications
… In this project, we will study how predictive analytics improves searches in chemical compound
space performed via inverse molecular design techniques, mainly focusing on the BFS …

Deep imitation learning for molecular inverse problems

E Jonas - Advances in neural information processing …, 2019 - proceedings.neurips.cc
… , this is actually an inverse problem. Inverse problems are problems where we attempt to invert
a … Inverse problems are at the heart of many important measurement modalities, including …