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Articles

Machine learning and molecular design of self-assembling -conjugated oligopeptides

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Pages 930-945 | Received 22 Feb 2018, Accepted 21 Apr 2018, Published online: 09 May 2018

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Kirill Shmilovich, Yifan Yao, John D. Tovar, Howard E. Katz, André Schleife & Andrew L. Ferguson. (2022) Computational discovery of high charge mobility self-assembling π-conjugated peptides. Molecular Systems Design & Engineering 7:5, pages 447-459.
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Kirill Shmilovich, Rachael A. Mansbach, Hythem Sidky, Olivia E. Dunne, Sayak Subhra Panda, John D. Tovar & Andrew L. Ferguson. (2020) Discovery of Self-Assembling π-Conjugated Peptides by Active Learning-Directed Coarse-Grained Molecular Simulation. The Journal of Physical Chemistry B 124:19, pages 3873-3891.
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Stephen Whitelam & Isaac Tamblyn. (2020) Learning to grow: Control of material self-assembly using evolutionary reinforcement learning. Physical Review E 101:5.
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Karteek K. Bejagam, Samrendra K. Singh, Rebecca Ahn & Sanket A. Deshmukh. (2019) Unraveling the Conformations of Backbone and Side Chains in Thermosensitive Bottlebrush Polymers. Macromolecules 52:23, pages 9398-9408.
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Bryce A. Thurston, Ethan P. Shapera, John D. Tovar, André Schleife & Andrew L. Ferguson. (2019) Revealing the Sequence-Structure–Electronic Property Relation of Self-Assembling π-Conjugated Oligopeptides by Molecular and Quantum Mechanical Modeling. Langmuir 35:47, pages 15221-15231.
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Rachael A. Mansbach & Andrew L. Ferguson. (2018) Patchy Particle Model of the Hierarchical Self-Assembly of π-Conjugated Optoelectronic Peptides. The Journal of Physical Chemistry B 122:44, pages 10219-10236.
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Ana E. Comesana, Tyler Huntington, Corinne D. Scown, Kyle E. Niemeyer & Vi Rapp. (2021) A Systematic Method for Selecting Molecular Descriptors as Features When Training Models for Predicting Physiochemical Properties. SSRN Electronic Journal.
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