Author
D. M. McCandlish
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Biology Disciplines
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2017-2023 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 20 mutual co-author links11 papers
Recent·Most cited
Mutation and selection induce correlations between selection coefficients and mutation rates
B. L. Gitschlag, A. V. Cano, J. L. Payne, D. M. McCandlish, A. Stoltzfus
The paper analyzes the joint distribution of selection coefficients and mutation rates under the SSWM regime, showing that correlations can arise even without initial correlations.
bioRxiv · Feb 13, 2023Evolutionary Biology
Specificity, synergy, and mechanisms of splice-modifying drugs
Y. Ishigami, M. S. Wong, C. Marti-Gomez, A. Ayaz, M. Kooshkbaghi, S. Hanson, D. M. McCandlish, A. R. Krainer, J. B. Kinney
This study develops quantitative models to understand how splice-modifying drugs work, showing drug-specific mechanisms and revealing widespread drug synergy and cooperativity.
bioRxiv · Dec 30, 2022Biophysics
Multiple distinct evolutionary mechanisms govern the dynamics of selfish mitochondrial genomes
B. L. Gitschlag, C. V. Pereira, J. P. Held, D. M. McCandlish, M. R. Patel
The paper investigates evolutionary mechanisms of selfish mitochondrial genomes in C. elegans, revealing diverse strategies for persistence and phenotypic consequences.
bioRxiv · Apr 8, 2022 · PreprintEvolutionary Biology
Genomic and experimental evidence that alternate transcription initiation of the Anaplastic Lymphoma Kinase (ALK) kinase domain does not predict single agent sensitivity to ALK inhibitors.
H. Inam, I. Sokirniy, Y. Rao, A. Shah, F. Naeemikia, E. O'Brien, C. Dong, D. M. McCandlish, J. R. Pritchard
The paper reanalyzes ALKATI's role in melanoma using genomic and experimental methods, finding it does not predict single-agent ALK inhibitor sensitivity.
bioRxiv · Jun 17, 2021 · PreprintBioengineering
Mutation bias shapes the spectrum of adaptive substitutions
A. V Cano, H. Rozhonova, A. Stoltzfus, D. M. McCandlish, J. L. Payne
The paper analyzes how mutation bias affects the spectrum of adaptive substitutions in three species using statistical models and simulations.
bioRxiv · Apr 14, 2021Evolutionary Biology
Higher-order epistasis and phenotypic prediction
J. Zhou, M. S. Wong, W.-C. Chen, A. R. Krainer, J. B. Kinney, D. M. McCandlish
This paper introduces a method to model higher-order genetic interactions from partially observed data and applies it to predict phenotypes in antibody-binding domains and splicing efficiency.
bioRxiv · Oct 14, 2020Evolutionary Biology
The role of mutation bias in adaptive molecular evolution: insights from convergent changes in protein function
J. F. Storz, C. Natarajan, A. V. Signore, C. C. Witt, D. M. McCandlish, A. Stoltzfus
The paper examines how mutation bias at CpG dinucleotides influences adaptive molecular evolution by analyzing convergent changes in hemoglobin function across high-altitude birds.
bioRxiv · Mar 17, 2019Evolutionary Biology
Selection for protein stability enriches for epistatic interactions
A. Posfai, J. Zhou, J. B. Plotkin, J. B. Kinney, D. M. McCandlish
The paper shows that small non-additive contributions to folding free energy are essential for protein stability, compatible with observed additive mutation effects.
bioRxiv · Jul 30, 2018Evolutionary Biology