Deep mutational scanning: a new style of protein science

Fowler, Douglas M, Fields, Stanley·2014·Nature Methods

DOI 10.1038/nmeth.3027

Cited by (1,003)

Items 301–400 of 1,003

THPLM: a sequence-based deep learning framework for protein stability changes prediction upon point variations using pretrained protein language model
Jian-Ting Gong, Lili Jiang, Yong-Bing Chen, Yixiang Zhang, Xue Li, Zhi-Qiang Ma, Zhi-Guo Fu, Fei He, Ping-Ping Sun, Zi-Lin Ren et al. · 2023 · Bioinform.
Evolution of complex adaptations in molecular systems
Csaba Pál, Balázs Papp · 2017 · Nature Ecology & Evolution
Predicting changes in protein stability caused by mutation using sequence‐and structure‐based methods in a CAGI5 blind challenge
Alexey V. Strokach, Carles Corbi‐Verge, Philip M. Kim · 2019 · Human Mutation
Predicting protein stability and solubility changes upon mutations: data perspective
Stanislav Mazurenko · 2020 · ChemCatChem
High-Resolution Phenotypic Landscape of the RNA Polymerase II Trigger Loop
Chenxi Qiu, Olivia C. Erinne, Jui M. Dave, Ping Cui, Huiyan Jin, Nandhini Muthukrishnan, Leung Kau Tang, Sabareesh Ganesh Babu, Kenny C. Lam, Paul J. Vandeventer et al. · 2016 · PLoS Genetics
Does AlphaFold2 model proteins’ intracellular conformations? An experimental test using cross-linking mass spectrometry of endogenous ciliary proteins
McCafferty, Caitlyn L., Pennington, Erin L., Papoulas, Ophelia, Taylor, David W., Marcotte, Edward M. · 2023 · Communications Biology
Integration of FRET and sequencing to engineer kinase biosensors from mammalian cell libraries
Longwei Liu, Praopim Limsakul, Xianhui Meng, Yan Huang, Reed E. S. Harrison, Tse-Shun Huang, Yiwen Shi, Yiyan Yu, Krit Charupanit, Sheng Zhong et al. · 2021 · Nature Communications
Meta learning addresses noisy and under-labeled data in machine learning-guided antibody engineering
Minot, Mason, Reddy, Sai T. · 2024 · Cell Systems
Engineering carbon assimilation in plants
Kezhen Qin, Xingyan Ye, Shanshan Luo, Alisdair Robert Fernie, Youjun Zhang · 2025 · Journal of Integrative Plant Biology
Biosensors for Food Quality and Safety Monitoring: Fundamentals and Applications
Marleny García-Lozano, Yadira Peña-García, Jose Alberto Silva Gonzalez, Cynthia Vanessa Ochoa Bañuelos, Miriam Paulina Luévanos‐Escareño, Nagamani Balagurusamy · 2018 · Elsevier eBooks
funtrp: identifying protein positions for variation driven functional tuning
Maximilian Miller, Dan Vitale, Peter C. Kahn, Burkhard Rost, Yana Bromberg · 2019 · Nucleic Acids Research
Artificial intelligence based methods for hot spot prediction
Damla Ovek, Zeynep Abali, Melisa Ece Zeylan, Özlem Keskin, Attila Gürsoy, Nurcan Tunçbağ · 2021 · Current Opinion in Structural Biology
Analysis of genetic variation and potential applications in genome-scale metabolic modeling
João Cardoso · 2015 · Frontiers in Bioengineering and Biotechnology
Extreme Sensitivity of Fitness to Environmental Conditions: Lessons from #1BigBatch
Grant Kinsler, Kara Schmidlin, Daphne Newell, Rachel Eder, Sam Apodaca, Grace Lam, Dmitri A. Petrov, Kerry Geiler‐Samerotte · 2023 · Journal of Molecular Evolution
Effects of collagen peptides intake on skin ageing and platelet release in chronologically aged mice revealed by cytokine array analysis
Hongdong Song, Ling Zhang, Yongkang Luo, Siqi Zhang, Бо Лі · 2017 · Journal of Cellular and Molecular Medicine
Evolving generalists in switching rugged landscapes
Shenshen Wang, Lei Dai · 2019 · PLoS Computational Biology
A Phage-Assisted Continuous Selection Approach for Deep Mutational Scanning of Protein–Protein Interactions
Julia Zinkus-Boltz, Craig Devalk, Bryan C. Dickinson · 2019 · ACS Chemical Biology
An enzyme-based biosensor for monitoring and engineering protein stability in vivo
Chang Ren, Xin Wen, Jun Mencius, Shu Quan · 2021 · Proceedings of the National Academy of Sciences
Deep Mutational Scanning of an Oxygen-Independent Fluorescent Protein CreiLOV for Comprehensive Profiling of Mutational and Epistatic Effects
Yongcan Chen, Ruyun Hu, Keyi Li, Yating Zhang, Lihao Fu, Jianzhi Zhang, Tong Si · 2023 · ACS Synthetic Biology
Genome-guided discovery of cancer therapeutic targets
Prathyusha Konda, Simon Garinet, Eliezer M. Van Allen, Srinivas Raghavan Viswanathan · 2023 · Cell Reports
Deep indel mutagenesis reveals the impact of amino acid insertions and deletions on protein stability and function
Magdalena Topolska, Antoni Beltran, Ben Lehner · 2025 · Nature Communications
Directed Evolution of Proteins Based on Mutational Scanning
Carlos G. Acevedo‐Rocha, Matteo Paolo Ferla, Manfred T. Reetz · 2017 · Methods in molecular biology
Destabilized adaptive influenza variants critical for innate immune system escape are potentiated by host chaperones
Angela M. Phillips, Anna I. Ponomarenko, Kenny Chen, Orr Ashenberg, Jiayuan Miao, Sean M. McHugh, Vincent L. Butty, Charles A. Whittaker, Christopher L. Moore, Jesse D. Bloom et al. · 2018 · PLoS Biology
Antigenic evolution of human influenza H3N2 neuraminidase is constrained by charge balancing
Yiquan Wang, Ruipeng Lei, Armita Nourmohammad, Nicholas C. Wu · 2021 · eLife
Molecular Origins of Complex Heritability in Natural Genotype-to-Phenotype Relationships
Christopher M. Jakobson, Daniel F. Jarosz · 2019 · Cell Systems
Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantification
Jayoung Ryu, Sam Barkal, Tian Yu, Martin Jankowiak, Yunzhuo Zhou, Matthew Francoeur, Quang Vinh Phan, Zhijian Li, Manuel Tognon, Lara Brown et al. · 2024 · Nature Genetics
The full spectrum of SLC22 OCT1 mutations illuminates the bridge between drug transporter biophysics and pharmacogenomics
Sook Wah Yee, Christian B. Macdonald, Darko Mitrovic, Xujia Zhou, Megan L. Koleske, Jia Ying Yang, Dina Buitrago Silva, Patrick Rockefeller Grimes, Donovan Trinidad, Swati S. More et al. · 2024 · Molecular Cell
Hierarchical design of artificial proteins and complexes toward synthetic structural biology
Ryoichi Arai · 2017 · Biophysical Reviews
Molecular dynamics simulations for genetic interpretation in protein coding regions: where we are, where to go and when
Juan José Galano‐Frutos, Helena García‐Cebollada, Javier Sancho · 2019 · Briefings in Bioinformatics
Variant effect predictions capture some aspects of deep mutational scanning experiments
Jonas Reeb, Theresa Wirth, Burkhard Rost · 2020 · BMC Bioinformatics
TLmutation: Predicting the Effects of Mutations Using Transfer Learning
Zahra Shamsi, Matthew C. Chan, Diwakar Shukla · 2020 · The Journal of Physical Chemistry B
A clinically relevant polymorphism in the Na+/taurocholate cotransporting polypeptide (NTCP) occurs at a rheostat position
Melissa J. Ruggiero, Shipra Malhotra, Aron W. Fenton, Liskin Swint‐Kruse, John Karanicolas, Bruno Hagenbuch · 2020 · Journal of Biological Chemistry
Probing ion channel functional architecture and domain recombination compatibility by massively parallel domain insertion profiling
Willow Coyote‐Maestas, David M. Nedrud, Antonio Suma, Yungui He, Kenneth A. Matreyek, Douglas M. Fowler, Vincenzo Carnevale, Chad L. Myers, Daniel Schmidt · 2021 · Nature Communications
What Mutagenesis Can and Cannot Reveal About Allostery
Gerald M. Carlson, Aron W. Fenton · 2016 · Biophysical Journal
In silico Mapping of Protein Unfolding Mutations for Inherited Disease
Caitlyn L McCafferty, Yuri V. Sergeev · 2016 · Scientific Reports
Characterizing Protein-Protein Interactions Using Deep Sequencing Coupled to Yeast Surface Display
Angélica V. Medina‐Cucurella, Timothy A. Whitehead · 2018 · Methods in molecular biology
Expert-guided protein language models enable accurate and blazingly fast fitness prediction
Marquet, Céline, Schlensok, Julius, Abakarova, Marina, Rost, Burkhard, Laine, Elodie · 2024 · Bioinformatics
Deep mutational scanning of proteins in mammalian cells
Stefanie Maes, Nick Deploey, Frank Peelman, Sven Eyckerman · 2023 · Cell Reports Methods
Repositioning microbial biotechnology against COVID‐19: the case of microbial production of flavonoids
Tobias Goris, Álvaro Pérez‐Valero, Igor Martínez, Dong Yi, Luis Fernández‐Calleja, David San León, Uwe T. Bornscheuer, Patricia Magadán‐Corpas, Felipe Lombó, Juan Nogales · 2020 · Microbial Biotechnology
High-throughput deep learning variant effect prediction with Sequence UNET
Dunham, Alistair S., Beltrao, Pedro, AlQuraishi, Mohammed · 2023 · Genome Biology
Hierarchy and extremes in selections from pools of randomized proteins
Sébastien Boyer, Dipanwita Biswas, Anandakumar Soshee, Natale Scaramozzino, Clément Nizak, Olivier Rivoire · 2016 · Proceedings of the National Academy of Sciences
High-throughput functional mapping of variants in an arrhythmia gene, KCNE1, reveals novel biology
Ayesha Muhammad, Maria E. Calandranis, Bian Li, Tao Yang, Daniel J. Blackwell, M. Lorena Harvey, Jeremy E. Smith, Zerubabell A. Daniel, Ashli E. Chew, John A. Capra et al. · 2024 · Genome Medicine
Enhanced ER proteostasis and temperature differentially impact the mutational tolerance of influenza hemagglutinin
Angela M. Phillips, Michael B. Doud, Luis O. González, Vincent L. Butty, Yu‐Shan Lin, Jesse D. Bloom, Matthew D. Shoulders · 2018 · eLife
Novel perspectives of environmental proteomics
Huiying Guo, Lili Wang, Ying Deng, Jinshao Ye · 2021 · The Science of The Total Environment
Host-parasite coevolution promotes innovation through deformations in fitness landscapes
Animesh Gupta, Luis Zaman, Hannah M. Strobel, Jenna Gallie, Alita R. Burmeister, Benjamin Kerr, Einat Shaer Tamar, Roy Kishony, Justin R. Meyer · 2022 · eLife
Biological fitness landscapes by deep mutational scanning
Jacob D. Mehlhoff, Marc Ostermeier · 2020 · Methods in enzymology on CD-ROM/Methods in enzymology
Spatially resolved proteomics of the Arabidopsis stomatal lineage identifies polarity complexes for cell divisions and stomatal pores
Eva‐Sophie Wallner, Andrea Mair, Dominik Handler, Claire D. McWhite, Shou‐Ling Xu, Liam Dolan, Dominique C. Bergmann · 2024 · Developmental Cell
Emergent time scales of epistasis in protein evolution
Leonardo Di Bari, Matteo Bisardi, Sabrina Cotogno, Martin Weigt, Francesco Zamponi · 2024 · Proceedings of the National Academy of Sciences
Identifying pathogenicity of human variants via paralog-based yeast complementation
Fan Yang, Song Sun, Guihong Tan, Michael Costanzo, DAVID EDWIN HILL, Marc Vidal, Brenda Andrews, Charles M. Boone, Frederick P. Roth · 2017 · PLoS Genetics
Recruiting machine learning methods for molecular simulations of proteins
S. Mittal, D. Shukla · 2018 · Molecular Simulation
Directed Evolution of Reprogramming Factors by Cell Selection and Sequencing
Veeramohan Veerapandian, Jan Ole Ackermann, Yogesh Srivastava, Vikas Malik, Mingxi Weng, Xiaoxiao Yang, Ralf Jauch · 2018 · Stem Cell Reports
Unsupervised Inference of Protein Fitness Landscape from Deep Mutational Scan
Jorge Fernández-de-Cossio-Díaz, Guido Uguzzoni, Andrea Pagnani · 2020 · Molecular Biology and Evolution
dms-view: Interactive visualization tool for deep mutational scanning data
Sarah K. Hilton, John Huddleston, Allison Black, Khrystyna North, Adam S. Dingens, Trevor Bedford, Jesse D. Bloom · 2020 · The Journal of Open Source Software
From systems to structure — using genetic data to model protein structures
Hannes Braberg, Ignacia Echeverria, Robyn M. Kaake, Andrej Šali, Nevan J. Krogan · 2022 · Nature Reviews Genetics
Systematic reconstruction of binding and stability landscapes of the fluorogenic aptamer spinach
Simon Ketterer, David Fuchs, Wilfried Weber, Matthias Meier · 2015 · Nucleic Acids Research
High efficiency hydrodynamic bacterial electrotransformation
Paulo A. Garcia, Zhifei Ge, Laura E. Kelley, Steven J. Holcomb, Cullen Buie · 2017 · Lab on a Chip
Nucleic Acid‐Barcoding Technologies: Converting DNA Sequencing into a Broad‐Spectrum Molecular Counter
Glen Liszczak, Tom W. Muir · 2018 · Angewandte Chemie International Edition
Predicted mechanistic impacts of human protein missense variants
Jürgen Jänes, Marc Müller, Senthil Selvaraj, Diogo Manoel, James D. Stephenson, Catarina Inês Gonçalves, Aleix Lafita, Benjamin J. Polacco, Kirsten Obernier, Kaur Alasoo et al. · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
Mutexa: A Computational Ecosystem for Intelligent Protein Engineering
Yang, Zhongyue J., Shao, Qianzhen, Jiang, Yaoyukun, Jurich, Christopher, Ran, Xinchun, Juarez, Reecan J., Yan, Bailu, Stull, Sebastian L., Gollu, Anvita, Ding, Ning · 2023 · Journal of Chemical Theory and Computation
Flexible regions govern promiscuous binding of IL ‐24 to receptors IL ‐20R1 and IL ‐22R1
Jiří Zahradník, Lucie Kolářová, Yoav Peleg, Petr Kolenko, Silvie Svidenská, Tatsiana Charnavets, Tamar Unger, Joel L. Sussman, Bohdan Schneider · 2019 · FEBS Journal
Allostery and Epistasis: Emergent Properties of Anisotropic Networks
Paul Campitelli, Sefika Banu Ozkan · 2020 · Entropy
Phage-DMS: A Comprehensive Method for Fine Mapping of Antibody Epitopes
Meghan E. Garrett, Hannah L. Itell, Katharine H. D. Crawford, Ryan Basom, Jesse D. Bloom, Julie M. Overbaugh · 2020 · iScience
Accurate Broadcasting of Substrate Fitness for Lactazole Biosynthetic Pathway from Reactivity-Profiling mRNA Display
Alexander A. Vinogradov, Emiko Nagai, Jun Shi Chang, Kakeru Narumi, Hiroyasu Onaka, Yuki Goto, Hiroaki Suga · 2020 · Journal of the American Chemical Society
High throughput and quantitative enzymology in the genomic era
D. Mokhtari, M. Appel, P. M. Fordyce, D. Herschlag · 2021 · Current Opinion in Structural Biology
Predicting protein stability changes upon mutation using a simple orientational potential
Iván Martín Hernández, Yves Dehouck, Ugo Bastolla, José Ramón López‐Blanco, Pablo Chacón · 2023 · Bioinformatics
A “Fuzzy”-Logic Language for Encoding Multiple Physical Traits in Biomolecules
Shira Warszawski, Ravit Netzer, Dan S. Tawfik, Sarel Jacob Fleishman · 2014 · Journal of Molecular Biology
Understanding molecular mechanisms in cell signaling through natural and artificial sequence variation
Neel H. Shah, John Kuriyan · 2018 · Nature Structural & Molecular Biology
Ultra-fast protein structure prediction to capture effects of sequence variation in mutation movies
Konstantin Weißenow, Michael Heinzinger, Martin Steinegger, Burkhard Rost · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
The power of fission: yeast as a tool for understanding complex splicing
Benjamin Jung Fair, Jeffrey A. Pleiss · 2016 · Current Genetics
Parsimonious evolutionary scenario for the origin of allostery and coevolution patterns in proteins
Olivier Rivoire · 2019 · Physical review. E
Directed evolution of a cyclodipeptide synthase with new activities via label-free mass spectrometric screening
Songya Zhang, Jing Hai Zhu, Shuai Fan, Wenhao Xie, Zhaoyong Yang, Tong Si · 2022 · Chemical Science
Binary combinatorial scanning reveals potent poly-alanine-substituted inhibitors of protein-protein interactions
Xiyun Ye, Yen‐Chun Lee, Zachary P. Gates, Yingjie Ling, Jennifer C. Mortensen, Fan-Shen Yang, Yu‐Shan Lin, Bradley L. Pentelute · 2022 · Communications Chemistry
Probing the biophysical constraints of SARS-CoV-2 spike N-terminal domain using deep mutational scanning
Wenhao O. Ouyang, Timothy J.C. Tan, Ruipeng Lei, Ge Song, Collin Kieffer, Raiees Andrabi, Kenneth A. Matreyek, Nicholas C. Wu · 2022 · Science Advances
Marginal specificity in protein interactions constrains evolution of a paralogous family
Dia A. Ghose, Kaitlyn E. Przydzial, Emily M. Mahoney, Amy E. Keating, Michael T. Laub · 2023 · Proceedings of the National Academy of Sciences
In-depth analysis of biocatalysts by microfluidics: An emerging source of data for machine learning
Michal Vasina, David R. Kovar, Jiřı́ Damborský, Yun Ding, Tianjin Yang, Andrew J. deMello, Stanislav Mazurenko, Stavros Stavrakis, Zbyněk Prokop · 2023 · Biotechnology Advances
RheoScale: A tool to aggregate and quantify experimentally determined substitution outcomes for multiple variants at individual protein positions
Abby M. Hodges, Aron W. Fenton, Larissa L Dougherty, Andrew C. Overholt, Liskin Swint‐Kruse · 2018 · Human Mutation
phydms : software for phylogenetic analyses informed by deep mutational scanning
Sarah K. Hilton, Michael B. Doud, Jesse D. Bloom · 2017 · PeerJ
Differential strengths of molecular determinants guide environment specific mutational fates
Rohan Dandage, Rajesh Pandey, Gopal Gunanathan Jayaraj, Manish Rai, David Berger, Kausik Chakraborty · 2018 · PLoS Genetics
Impact of In Vivo Protein Folding Probability on Local Fitness Landscapes
Matthew S. Faber, Emily E. Wrenbeck, Laura R. Azouz, Paul J. Steiner, Timothy A. Whitehead · 2019 · Molecular Biology and Evolution
Dynamics of transcription–translation coordination tune bacterial indole signaling
Tianmin Wang, Xiang Zheng, Haonan Ji, Ting-liang Wang, Xin‐Hui Xing, Chong Zhang · 2019 · Nature Chemical Biology
Accurately Predicting Mutation-Caused Stability Changes from Protein Sequences Using Extreme Gradient Boosting
Lv, Xuan, Chen, Jianwen, Lu, Yutong, Chen, Zhiguang, Xiao, Nong, Yang, Yuedong · 2020 · Journal of Chemical Information and Modeling
A Reflection on 50 Years of John Maynard Smith’s “Protein Space”
C. Brandon Ogbunugafor · 2020 · Genetics
Measuring Pharmacogene Variant Function at Scale Using Multiplexed Assays
Renee C. Geck, Gabriel E. Boyle, Clara J. Amorosi, Douglas M. Fowler, Maitreya J. Dunham · 2021 · The Annual Review of Pharmacology and Toxicology
Profiling of drug resistance in Src kinase at scale uncovers a regulatory network coupling autoinhibition and catalytic domain dynamics
Sujata Chakraborty, Ethan Ahler, Jessica J. Simon, Linglan Fang, Zachary E. Potter, Katherine A. Sitko, Jason J. Stephany, Miklós Guttman, Douglas M. Fowler, Dustin J. Maly · 2023 · Cell chemical biology
The fitness landscape of the codon space across environments
Inês Fragata, Sebastian Matuszewski, Mark A. Schmitz, Thomas M Bataillon, Jeffrey D. Jensen, Claudia Bank · 2018 · Heredity
Rheostat positions: A new classification of protein positions relevant to pharmacogenomics
Aron W. Fenton, Braelyn M. Page, Arianna Spellman-Kruse, Bruno Hagenbuch, Liskin Swint‐Kruse · 2020 · Medicinal Chemistry Research
Protein–protein interactions in the Mla lipid transport system probed by computational structure prediction and deep mutational scanning
MacRae, Mark R., Puvanendran, Dhenesh, Haase, Max A.B., Coudray, Nicolas, Kolich, Ljuvica, Lam, Cherry, Baek, Minkyung, Bhabha, Gira, Ekiert, Damian C. · 2023 · Journal of Biological Chemistry
Killer yeasts: expanding frontiers in the age of synthetic biology
Sonja Billerbeck, Roy S. K. Walker, Isak S. Pretorius · 2024 · Trends in biotechnology
Mutational fitness landscapes reveal genetic and structural improvement pathways for a vaccine-elicited HIV-1 broadly neutralizing antibody
Bharat Madan, Baoshan Zhang, Kai Y. Xu, Cara W. Chao, Sijy J. O'Dell, Jacy R. Wolfe, Gwo‐Yu Chuang, Ahmed S. Fahad, Hui Geng, Rui Kong et al. · 2021 · Proceedings of the National Academy of Sciences
An overview of methods for the structural and functional mapping of epitopes recognized by anti-SARS-CoV-2 antibodies
I. Francino-Urdaniz, T. Whitehead · 2021 · RSC Chemical Biology
Origins, evolution, and physiological implications of de novo genes in yeast
Saurin Bipin Parikh, Carly J. Houghton, S. Branden Van Oss, Aaron C. Wacholder, Anne‐Ruxandra Carvunis · 2022 · Yeast
The functional impact of 1,570 individual amino acid substitutions in human OTC
Russell S. Lo, Gareth A. Cromie, Michelle Tang, Kevin Teng, Katherine Owens, Amy Sirr, J. Nathan Kutz, Richard N. McLaughlin, Hiroki Morizono, Ljubica Caldovic et al. · 2023 · The American Journal of Human Genetics
Interpretable neural architecture search and transfer learning for understanding CRISPR–Cas9 off-target enzymatic reactions
Zijun Zhang, Adam Lamson, Michael Shelley, Olga G. Troyanskaya · 2023 · Nature Computational Science
AspSnFR: A genetically encoded biosensor for real-time monitoring of aspartate in live cells
Lars Hellweg, Martin Pfeifer, Mirosław Tarnawski, Shao Thing-Teoh, Lena Chang, Andrea Bergner, Jana Kress, Julien Hiblot, Tabea Wiedmer, Giulio Superti‐Furga et al. · 2024 · Cell chemical biology
Evidence for Amino Acid Snorkeling from a High-Resolution, In Vivo Analysis of Fis1 Tail-Anchor Insertion at the Mitochondrial Outer Membrane
Abdurrahman Keskin, Emel Akdoğan, Cory D. Dunn · 2016 · Genetics
Affinity Maturation of a Cyclic Peptide Handle for Therapeutic Antibodies Using Deep Mutational Scanning
Martijn van Rosmalen, Brian M. G. Janssen, Natalie M. Hendrikse, Ardjan J. van der Linden, Pascal A. Pieters, Dave Wanders, Tom F. A. de Greef, Maarten Merkx · 2017 · Journal of Biological Chemistry
Exploring protein sequence–function landscapes
Tyler N. Starr, Joseph W. Thornton · 2017 · Nature Biotechnology
Extending chemical perturbations of the ubiquitin fitness landscape in a classroom setting reveals new constraints on sequence tolerance
David Mavor, Kyle A. Barlow, Daniel E. Asarnow, Yuliya Birman, Derek Britain, Weilin Chen, Evan M. Green, Lillian R. Kenner, Bruk Mensa, Leanna S. Morinishi et al. · 2018 · Biology Open
Preferences in a trait decision determined by transcription factor variants
Michael W. Dorrity, Josh T. Cuperus, Jolie A. Carlisle, Stanley Fields, Christine Queitsch · 2018 · Proceedings of the National Academy of Sciences
Effective models and the search for quantitative principles in microbial evolution
Benjamin H. Good, Oskar Hallatschek · 2018 · Current Opinion in Microbiology