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Dec 1, 2023 | 
pnas.org | Lainey J. Williamson |Marina Galchenkova |Hannah L. Best |Richard Bean
SignificanceQuantum computing (QC) has advantages of speed and storage over classical computing, but it is based on a linear paradigm. However, many problems of interest are nonlinear. A viable QC algorithm includes a suitable preparation of a nonlinear problem into a linearized setting, doing computations quantum mechanically and reading out the results in classical terms. This end-to-end process usually diminishes the quantum advantage.
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Dec 1, 2023 | 
pnas.org | Lainey J. Williamson |Marina Galchenkova |Hannah L. Best |Richard Bean
SignificanceWe describe a machine-learning method for identifying amino acid substitutions that stabilize a protein molecule against thermal unfolding, with utility for a variety of protein engineering applications. As input, the method requires only the amino acid sequences of equivalent proteins from bacteria that grow at different temperatures—high (thermophiles), medium (mesophiles), and/or low (psychrophiles)—information readily available from public databases.
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Dec 1, 2023 | 
pnas.org | Lainey J. Williamson |Marina Galchenkova |Hannah L. Best |Richard Bean
Information & AuthorsInformationPublished in Proceedings of the National Academy of SciencesVol. 120 | No. 49December 5, 2023ClassificationsCopyrightSubmission historyPublished online: December 1, 2023Published in issue: December 5, 2023AuthorsMetrics & CitationsMetrics Note: The article usage is presented with a three- to four-day delay and will update daily once available. Due to ths delay, usage data will not appear immediately following publication.
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Nov 30, 2023 | 
pnas.org | Lainey J. Williamson |Marina Galchenkova |Hannah L. Best |Richard Bean
A gain-of-function HCN4 mutant in the HCN domain is responsible for inappropriate sinus tachycardia in a Spanish family Anabel Cámara-Checa https://orcid.org/0000-0002-6124-2236, Francesca Perin https://orcid.org/0000-0003-1041-930X, Marcos Rubio-Alarcón, +11 , María Dago, Teresa Crespo-García https://orcid.org/0000-0003-3635-1446, Josu Rapún https://orcid.org/0000-0002-7706-8818, María Marín, Jorge Cebrián, Ricardo Gómez https://orcid.org/0000-0001-5522-195X, Francisco Bermúdez-Jiménez...
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Nov 30, 2023 | 
pnas.org | Lainey J. Williamson |Marina Galchenkova |Hannah L. Best |Richard Bean
In silico evolution of autoinhibitory domains for a PD-L1 antagonist using deep learning modelsEdited by Susan Marqusee, University of California, Berkeley, CA; received May 4, 2023; accepted September 24, 2023SignificanceProtein–protein interactions are critical to most processes in biology and improved methods for designing protein binders will enable the creation of new research reagents, diagnostics, and therapeutics.
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Nov 30, 2023 | 
pnas.org | Lainey J. Williamson |Marina Galchenkova |Hannah L. Best |Richard Bean
C. Brodbeck, L. E. Hong, J. Z. Simon, Rapid transformation from auditory to linguistic representations of continuous speech. Curr. Biol. 28, 3976–3983.e5 (2018). M. Gillis, J. Vanthornhout, J. Z. Simon, T. Francart, C. Brodbeck, Neural markers of speech comprehension: Measuring EEG tracking of linguistic speech representations. Controlling the speech acoustics. J. Neurosci. 41, 10316–10329 (2021). E. Ahissar et al., Speech comprehension is correlated with temporal response patterns recorded from auditory cortex.
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Nov 30, 2023 | 
pnas.org | Lainey J. Williamson |Marina Galchenkova |Hannah L. Best |Richard Bean
SignificancePhysical systems thermalize due to interactions within themselves and with their surroundings, during which they rapidly forget the information associated with their initial state. The progress toward this state of memorylessness is referred to as “scrambling” and is usually brought about by chaos in classical systems.
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Nov 30, 2023 | 
pnas.org | Lainey J. Williamson |Marina Galchenkova |Hannah L. Best |Richard Bean
SignificanceWe use GPT-4 to create “typicality measures” that quantitatively assess how closely text documents align with a specific concept or category. Unlike previous methods that required extensive training on large text datasets, the GPT-4-based measures achieve state-of-the-art correlation with human judgments without such training. Because training data is not needed, this dramatically reduces the data requirements for obtaining high performing model-based typicality measures.
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Nov 30, 2023 | 
pnas.org | Lainey J. Williamson |Marina Galchenkova |Hannah L. Best |Richard Bean
Doping-induced assembly interface for noninvasive in vivo local and systemic immunomodulationEdited by David Weitz, Harvard University, Cambridge, MA; received April 26, 2023; accepted October 23, 2023SignificanceIn vivo neuroelectronics are crucial for addressing the burden of neural injury and neurological disorders.
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Nov 29, 2023 | 
pnas.org | Lainey J. Williamson |Marina Galchenkova |Hannah L. Best |Richard Bean
SignificanceFission of photoexcited singlets into triplet pairs promises disruptive solar cells. However, mechanistic principles governing its first steps even in archetypal acene-based systems remain poorly understood. Coupling between fast electrons and slow nuclei creates efficient, directional electronic funnels. Similar funnels in photosynthesis arise only when molecular vibrational frequencies are resonant with electronic energy gaps.
