Author

J. M. Remington

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 2 Biochemistry· 1 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Approach:biophysical modeling· 1 Research Focus:chromatin & epigenetic regulation· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:non-human primate· 1

Frequent Co-Authors

J. Li· 4 shared C. M. Van Oort· 2 shared J. B. Ferrell· 2 shared S. Wshah· 2 shared A. Radhakrishnan· 1 shared C. Liao· 1 shared F. Clark· 1 shared F. Huser· 1 shared

Activity by Year

2020-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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4 shared papersBiophysics

J. Li

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Author profile →

4 papers

Recent·Most cited

A modular intramolecular triplex photo-switching motif that enables rapid and reversible control of aptamer binding activity

T. Trinh, I. A. P. Thompson, F. Clark, J. M. Remington, M. Eisenstein, J. Li, H. T. Soh

This paper designs a DNA-based photoswitch that enables rapid and reversible control of aptamer binding activity through azobenzene isomerization.

bioRxiv · May 22, 2022 · PreprintBioengineering

AMPGAN v2: Machine Learning Guided Discovery of Anti-Microbial Peptides

C. M. Van Oort, J. B. Ferrell, J. M. Remington, S. Wshah, J. Li

AMPGAN v2 generates novel antimicrobial peptides with higher precision and selectivity for resistant targets using a bidirectional conditional generative adversarial network.

bioRxiv · Nov 18, 2020 · PreprintBiophysics

A Generative Approach toward Precision Antimicrobial Peptide Design

J. B. Ferrell, J. M. Remington, C. M. Van Oort, M. Sharafi, R. Aboushousha, Y. Janssen-Heininger, S. T. Schneebeli, M. J. Wargo, S. Wshah, J. Li

This paper develops a generative model to design antimicrobial peptides with high activity and selectivity, validated through molecular simulations and experimental testing.

bioRxiv · Oct 2, 2020 · PreprintBiophysics

Molecular Basis for the Adaptive Evolution of Environment Sensing by H-NS Proteins

X. Zhao, V. Kharchenko, U. F. Shahul Hameed, C. Liao, F. Huser, J. M. Remington, A. Radhakrishnan, M. Jaremko, Łukasz Jaremko, S. T. Arold, J. Li

This study investigates how H-NS proteins evolved to sense environmental changes by comparing orthologs from different bacteria and using biophysical methods to reveal electrostatic interactions involved in adaptation.

bioRxiv · Apr 21, 2020Biochemistry