Publications
preprint
212.
B. Allman, L. Vieira, D. J. Diaz, C. O. Wilke (preprint). A systematic evaluation of the language-of-viral-escape model using multiple machine learning frameworks. bioRxiv 611278.
doi: 10.1101/2024.09.04.611278
doi: 10.1101/2024.09.04.611278
211.
A. L. Feller, C. O. Wilke (preprint). Peptide-specific chemical language model successfully predicts membrane diffusion of cyclic peptides. bioRxiv 607221.
doi: 10.1101/2024.08.09.607221
doi: 10.1101/2024.08.09.607221
210.
A. M. Hill, T. A. Ingle, C. O. Wilke (preprint). A computational model for bacteriophage ϕX174 gene expression. bioRxiv 586356.
doi: 10.1101/2024.03.22.586356
doi: 10.1101/2024.03.22.586356
209.
M. M. Johnson, C. O. Wilke (preprint). Recombination rate inference via deep learning is limited by sequence diversity. bioRxiv 498489.
doi: 10.1101/2022.07.01.498489
doi: 10.1101/2022.07.01.498489
208.
A. J. Hockenberry, D. C. Weaver, C. O. Wilke (preprint). Virulent but not temperate bacteriophages display hallmarks of rapid translation initiation. bioRxiv 440840.
doi: 10.1101/2021.04.21.440840
doi: 10.1101/2021.04.21.440840
207.
D. K. Sydykova, C. O. Wilke (preprint). Theory of measurement for site-specific evolutionary rates in amino-acid sequences. bioRxiv 411025.
doi: 10.1101/411025
doi: 10.1101/411025
2024
206.
A. V. Kulikova, J. K. Parker, B. W. Davies, C. O. Wilke (2024). Semantic search using protein large language models detects class II microcins in bacterial genomes. mSystems, in press.
doi: 10.1101/2023.11.15.567263
doi: 10.1101/2023.11.15.567263
205.
K. Hu, C.-W. Chou, C. O. Wilke, I. J. Finkelstein (2024). Distinct horizontal transfer mechanisms for type I and type V CRISPR-associated transposons. Nature Commun. 15:6653.
doi: 10.1038/s41467-024-50816-w
pmcid: PMC11300857
doi: 10.1038/s41467-024-50816-w
pmcid: PMC11300857
204.
J. R. Randall, L. C. Vieira, C. O. Wilke, B. W. Davies (2024). Deep mutational scanning and machine learning for the analysis of antimicrobial-peptide features driving membrane selectivity. Nature Biomed. Eng. 8:842–853.
doi: 10.1038/s41551-024-01243-1
doi: 10.1038/s41551-024-01243-1
203.
C. O. Wilke (2024). The biophysical landscape of viral evolution. PNAS 121:e2409667121.
doi: 10.1073/pnas.2409667121
pmcid: PMC11228502
doi: 10.1073/pnas.2409667121
pmcid: PMC11228502
202.
M. M. Reimert, J. D. Parry, M. Denwood, M. K. Gussmann, C. O. Wilke, I. Kosenkov, M. Milton, A. Thomason (2024). extendr: Frictionless bindings for R and Rust. Journal of Open Source Software 9:6394.
doi: 10.21105/joss.06394
doi: 10.21105/joss.06394
201.
C. W. Kosonocky, C. O. Wilke, E. M. Marcotte, A. D. Ellington (2024). Mining patents with large language models elucidates the chemical function landscape. Digital Discovery 3:1150–1159.
doi: 10.1039/D4DD00011K
pmcid: PMC11167698
doi: 10.1039/D4DD00011K
pmcid: PMC11167698
2023
200.
C. W. Kosonocky, A. L. Feller, C. O. Wilke, A. D. Ellington (2023). Using alternative SMILES representations to identify novel functional analogues in chemical similarity vector searches. Patterns 4:100865.
doi: 10.1016/j.patter.2023.100865
pmcid: PMC10724362
doi: 10.1016/j.patter.2023.100865
pmcid: PMC10724362
199.
A. V. Kulikova, D. J. Diaz, T. Chen, T. J. Cole, A. D. Ellington, C. O. Wilke (2023). Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry. Sci. Rep. 13:13280.
doi: 10.1038/s41598-023-40247-w
pmcid: PMC10432456
doi: 10.1038/s41598-023-40247-w
pmcid: PMC10432456
198.
M. M. Johnson, A. J. Hockenberry, M. J. McGuffie, L. C. Vieira, C. O. Wilke (2023). Growth-dependent gene expression variation influences the strength of codon usage biases. Mol. Biol. Evol. 40:msad189.
pmcid: PMC10482319
pmcid: PMC10482319
197.
D. J. Diaz, A. V. Kulikova, A. D. Ellington, C. O. Wilke (2023). Using machine learning to predict the effects and consequences of mutations in proteins. Curr. Opin. Struct. Biol. 78, 102518.
doi: https://doi.org/10.1016/j.sbi.2022.102518
pmcid: PMC9908841
doi: https://doi.org/10.1016/j.sbi.2022.102518
pmcid: PMC9908841
196.
J. R. Randall, C. D. DuPai, T. J. Cole, G. Davidson, K. E. Groover, S. L. Slater, D. A. Mavridou, C. O. Wilke, B. W. Davies (2023). Designing and identifying β-hairpin peptide macrocycles with antibiotic potential. Science Advances 9:eade0008.
doi: 10.1126/sciadv.ade0008
pmcid: PMC9833666
doi: 10.1126/sciadv.ade0008
pmcid: PMC9833666
2022
195.
T. J. Cole, J. K. Parker, A. L. Feller, C. O. Wilke, B. W. Davies (2022). Evidence for widespread class II microcins in Enterobacterales genomes. Applied and Environmental Microbiology 88:e01486-22.
doi: https://doi.org/10.1128/aem.01486-22
pmcid: PMC9746304
doi: https://doi.org/10.1128/aem.01486-22
pmcid: PMC9746304
194.
S. B. Shah, A. M. Hill, C. O. Wilke, A. J. Hockenberry (2022). Generating dynamic gene expression patterns without the need for regulatory circuits. PLoS One 17:e0268883.
doi: 10.1371/journal.pone.0268883
pmcid: PMC9135205
doi: 10.1371/journal.pone.0268883
pmcid: PMC9135205
2021
193.
J. R. Rybarski, K. Hu, A. M. Hill, C. O. Wilke, I. J. Finkelstein (2021). Metagenomic Discovery of CRISPR-Associated Transposons. Proc. Natl. Acad. Sci. USA 118:e2112279118.
doi: 10.1073/pnas.2112279118
pmcid: PMC8670466
doi: 10.1073/pnas.2112279118
pmcid: PMC8670466
192.
A. V. Kulikova, D. J. Diaz, J. M. Loy, A. D. Ellington, C. O. Wilke (2021). Learning the local landscape of protein structures with convolutional neural networks. J. Biol. Phys. 47:435-454.
doi: 10.1007/s10867-021-09593-6
pmcid: PMC8603988
doi: 10.1007/s10867-021-09593-6
pmcid: PMC8603988
191.
A. M. Hill, J. R. Rybarski, K. Hu, I. J. Finkelstein, C. O. Wilke (2021). Opfi: A Python package for identifying gene clusters in large genomics and metagenomics data sets. Journal of Open Source Software 6:3678.
doi: 10.21105/joss.03678
pmcid: PMC9017871
doi: 10.21105/joss.03678
pmcid: PMC9017871
190.
A. J. Hockenberry, C. O. Wilke (2021). BACPHLIP: Predicting bacteriophage lifestyle from conserved protein domains. PeerJ 9:e11396.
doi: 10.7717/peerj.11396
pmcid: PMC8106911
doi: 10.7717/peerj.11396
pmcid: PMC8106911
189.
A. I. Teufel, W. Liu, J. A. Draghi, C. E. Cameron, C. O. Wilke (2021). Modeling poliovirus replication dynamics from live time-lapse single-cell imaging data. Scientific Reports 11:9622.
doi: 10.1038/s41598-021-87694-x
pmcid: PMC8100109
doi: 10.1038/s41598-021-87694-x
pmcid: PMC8100109
188.
C. D. DuPai, B. W. Davies, C. O. Wilke (2021). A systematic analysis of the beta hairpin motif in the Protein Data Bank. Protein Science 30:613-623.
doi: 10.1002/pro.4020
pmcid: PMC7888580
doi: 10.1002/pro.4020
pmcid: PMC7888580
2020
187.
C. D. DuPai, A. L. Cunningham, A. R. Conrado, C. O. Wilke, B. W. Davies (2020). TsrA Regulates Virulence and Intestinal Colonization in Vibrio cholerae. mSphere 5:e01014-20.
doi: 10.1128/mSphere.01014-20
pmcid: PMC7729259
doi: 10.1128/mSphere.01014-20
pmcid: PMC7729259
186.
A. Zeileis, J. C. Fisher, K. Hornik, R. Ihaka, C. D. McWhite, P. Murrell, R. Stauffer, C. O. Wilke (2020). colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes. J. Stat. Soft. 96(1):1–49.
doi: 10.18637/jss.v096.i01
doi: 10.18637/jss.v096.i01
185.
M. M. Johnson, C. O. Wilke (2020). Site-specific amino acid distributions follow a universal shape. J. Mol. Evol. 88:731–741.
doi: 10.1007/s00239-020-09976-8
pmcid: PMC7717668
doi: 10.1007/s00239-020-09976-8
pmcid: PMC7717668
184.
C. O. Wilke, C. T. Bergstrom (2020). Predicting an epidemic trajectory is difficult. Proc. Natl. Acad. Sci. USA 117:28549–28551.
doi: 10.1073/pnas.2020200117
pmcid: PMC7682412
doi: 10.1073/pnas.2020200117
pmcid: PMC7682412
183.
C. D. DuPai, C. O. Wilke, B. W. Davies (2020). A comprehensive co-expression network analysis in Vibrio cholerae. mSystems 5:e00550-20.
doi: 10.1128/mSystems.00550-20
pmcid: PMC7343309
doi: 10.1128/mSystems.00550-20
pmcid: PMC7343309
182.
Y. Zhang, A. J. Moy, X. Feng, H. T. M. Nguyen, K. R. Sebastian, J. S. Reichenberg, C. O. Wilke, M. K. Markey, J. W. Tunnell (2020). Assessment of Raman spectroscopy for reducing unnecessary biopsies for melanoma screening. Molecules 25:2852.
doi: 10.3390/molecules25122852
pmcid: PMC7355922
doi: 10.3390/molecules25122852
pmcid: PMC7355922
181.
J. M. Laurent, R. K. Garge, A. I. Teufel, C. O. Wilke, A. H. Kachroo, E. M. Marcotte (2020). Humanization of yeast genes with multiple human orthologs reveals principles of functional divergence between paralogs. PLOS Biol. 18:e3000627.
doi: 10.1371/journal.pbio.3000627
pmcid: PMC7259792
doi: 10.1371/journal.pbio.3000627
pmcid: PMC7259792
180.
D. K. Sydykova, T. O. LaBar, C. Adami, C. O. Wilke (2020). Moderate amounts of epistasis are not evolutionarily stable in small populations. J. Mol. Evol. 88:435–444.
doi: 10.1007/s00239-020-09942-4
doi: 10.1007/s00239-020-09942-4
2019
179.
B. R. Jack, D. R. Boutz, M. L. Paff, B. L. Smith, C. O. Wilke (2019). Transcript degradation and codon usage regulate gene expression in a lytic phage. Virus Evol. 5:vez055.
doi: 10.1093/ve/vez055
pmcid: PMC6938266
doi: 10.1093/ve/vez055
pmcid: PMC6938266
178.
H. Wickham, M. Averick, J. Bryan, W. Chang, L. D'Agostino McGowan, R. François, G. Grolemund, A. Hayes, L. Henry, J. Hester, M. Kuhn, T. Lin Pedersen, E. Miller, S. Milton Bache, K. Müller, J. Ooms, D. Robinson, D. Paige Seidel, V. Spinu, K. Takahashi, D. Vaughan, C. Wilke, K. Woo, H. Yutani (2019). Welcome to the Tidyverse. JOSS 4:1686.
doi: 10.21105/joss.01686
doi: 10.21105/joss.01686
177.
W. Liu, M. U. Caglar, Z. Mao, A. Woodman, J. J. Arnold, C. O. Wilke, C. E. Cameron (2019). More than efficacy revealed by single-cell analysis of antiviral therapeutics. Science Advances 5:eaax4761.
doi: 10.1126/sciadv.aax4761
pmcid: PMC6821460
doi: 10.1126/sciadv.aax4761
pmcid: PMC6821460
176.
A. J. Hockenberry, C. O. Wilke (2019). Phylogenetic weighting does little to improve the accuracy of evolutionary coupling analyses. Entropy 21:1000.
doi: 10.3390/e21101000
pmcid: PMC6818970
doi: 10.3390/e21101000
pmcid: PMC6818970
175.
A. J. Hockenberry, C. O. Wilke (2019). Evolutionary couplings detect side-chain interactions. PeerJ 7:e7280.
doi: 10.7717/peerj.7280
pmcid: PMC6622159
doi: 10.7717/peerj.7280
pmcid: PMC6622159
174.
C. D. DuPai, C. D. McWhite, C. B. Smith, R. Garten, S. Maurer-Stroh, and C. O. Wilke (2019). Influenza passaging annotations: what they tell us and why we should listen. Virus Evol. 5:vez016.
doi: 10.1093/ve/vez016
pmcid: PMC6599686
doi: 10.1093/ve/vez016
pmcid: PMC6599686
173.
B. R. Jack, C. O. Wilke (2019). Pinetree: a step-wise gene expression simulator with codon-specific translation rates. Bioinformatics 35:4176–4178.
doi: 10.1093/bioinformatics/btz203
pmcid: PMC6792109
doi: 10.1093/bioinformatics/btz203
pmcid: PMC6792109
172.
A. I. Teufel, M. M. Johnson, J. M. Laurent, A. H. Kachroo, E. M. Marcotte, C. O. Wilke (2019). The many nuanced evolutionary consequences of duplicated genes. Mol. Biol. Evol. 36:304–314.
doi: 10.1093/molbev/msy210
pmcid: PMC6409435
doi: 10.1093/molbev/msy210
pmcid: PMC6409435
2018
171.
M. U. Caglar, A. J. Hockenberry, C. O. Wilke (2018). Predicting bacterial growth conditions from mRNA and protein abundances. PLoS ONE 13:e0206634.
doi: 10.1371/journal.pone.0206634
pmcid: PMC6214550
doi: 10.1371/journal.pone.0206634
pmcid: PMC6214550
170.
A. J. Hockenberry, M. C. Jewett, L. A. N. Amaral, C. O. Wilke (2018). Within-gene Shine-Dalgarno sequences are not selected for function. Mol. Biol. Evol. 35:2487–2498.
doi: 10.1093/molbev/msy150
pmcid: PMC6188533
doi: 10.1093/molbev/msy150
pmcid: PMC6188533
169.
A. I. Teufel, A. M. Ritchie, C. O. Wilke, D. A. Liberles (2018). Using the mutation–selection framework to characterize selection on protein sequences. Genes 9:409.
doi: 10.3390/genes9080409
pmcid: PMC6115872
doi: 10.3390/genes9080409
pmcid: PMC6115872
168.
M. L. Paff, B. R. Jack, B. L. Smith, J. J. Bull, C. O. Wilke (2018). Combinatorial approaches to viral attenuation. mSystems 3:e00046.
doi: 10.1128/mSystems.00046-18
pmcid: PMC6068830
doi: 10.1128/mSystems.00046-18
pmcid: PMC6068830
167.
B. L. Smith, G. Chen, C. O. Wilke, R. M. Krug (2018). Avian influenza virus PB1 gene in H3N2 viruses evolved in humans to reduce interferon inhibition by skewing codon usage toward interferon-altered tRNA pools. mBio 9:e01222-18.
doi: 10.1128/mBio.01222-18
pmcid: PMC6030557
doi: 10.1128/mBio.01222-18
pmcid: PMC6030557
166.
D. C. Wu, J. Yao, K. S. Ho, A. M. Lambowitz, C. O. Wilke (2018). Limitations of alignment-free tools in total RNA-seq quantification. BMC Genomics 19:510.
doi: 10.1186/s12864-018-4869-5
pmcid: PMC6042521
doi: 10.1186/s12864-018-4869-5
pmcid: PMC6042521
165.
Q. Jiang, A. I. Teufel, E. L. Jackson, C. O. Wilke (2018). Beyond thermodynamic constraints: Evolutionary history shapes protein sequence variation. Genetics 208:1387–1395.
doi: 10.1534/genetics.118.300699
pmcid: PMC5887137
doi: 10.1534/genetics.118.300699
pmcid: PMC5887137
164.
D. K. Sydykova, B. R. Jack, S. J. Spielman, C. O. Wilke (2018). Measuring evolutionary rates of proteins in a structural context [version 2; referees: 4 approved]. F1000Research 2018, 6:1845.
doi: 10.12688/f1000research.12874.2
pmcid: PMC5676193
doi: 10.12688/f1000research.12874.2
pmcid: PMC5676193
163.
M. U. Caglar, A. I. Teufel, C. O. Wilke (2018). Sicegar: R package for sigmoidal and double-sigmoidal curve fitting. PeerJ 6:e4251.
doi: 10.7717/peerj.4251
pmcid: PMC5774301
doi: 10.7717/peerj.4251
pmcid: PMC5774301
162.
A. T. Tucker, S. P. Leonard, C. D. DuBois, G. A. Knauf, A. L. Cunningham, C. O. Wilke, S. Trent, B. W. Davies (2018). Discovery of next-generation antimicrobials through bacterial self-screening of surface-displayed peptide libraries. Cell 172:618–628.e13.
doi: 10.1016/j.cell.2017.12.009
pmcid: PMC5786472
doi: 10.1016/j.cell.2017.12.009
pmcid: PMC5786472
2017
161.
F. Guo, S. Li, M. U. Caglar, Z. Mao, W. Liu, A. Woodman, J. J. Arnold, C. O. Wilke, T. J. Huang, C. E. Cameron (2017). Single-cell virology: On-chip investigation of viral infection dynamics. Cell Reports 21:1692–1704.
doi: 10.1016/j.celrep.2017.10.051
pmcid: PMC5689460
doi: 10.1016/j.celrep.2017.10.051
pmcid: PMC5689460
160.
B. L. Smith, C. O. Wilke (2017). Virus Evolution: A new twist in measuring mutation rates. eLife 6:e29586.
doi: 10.7554/eLife.29586
pmcid: PMC5511007
doi: 10.7554/eLife.29586
pmcid: PMC5511007
159.
B. R. Jack, D. R. Boutz, M. L. Paff, B. L. Smith, J. J. Bull, C. O. Wilke (2017). Reduced protein expression in a virus attenuated by codon deoptimization. G3: GENES, GENOMES, GENETICS 7:2957–2968.
doi: 10.1534/g3.117.041020
pmcid: PMC5592923
doi: 10.1534/g3.117.041020
pmcid: PMC5592923
158.
D. K. Sydykova, C. O. Wilke (2017). Calculating site-specific evolutionary rates at the amino-acid or codon level yields similar rate estimates. PeerJ 5:e3391.
doi: 10.7717/peerj.3391
pmcid: PMC5452972
doi: 10.7717/peerj.3391
pmcid: PMC5452972
157.
J. Echave, C. O. Wilke (2017). Biophysical models of protein evolution: Understanding the patterns of evolutionary sequence divergence. Ann. Rev. Biophys. 46:85–103.
doi: 10.1146/annurev-biophys-070816-033819
pmcid: PMC5800964
doi: 10.1146/annurev-biophys-070816-033819
pmcid: PMC5800964
156.
M. U. Caglar, J. R. Houser, C. S. Barnhart, D. R. Boutz, S. M. Carroll, A. Dasgupta, W. F. Lenoir, B. L. Smith, V. Sridhara, D. K. Sydykova, D. Vander Wood, C. J. Marx, E. M. Marcotte, J. E. Barrick, C. O. Wilke (2017). The E. coli molecular phenotype under different growth conditions. Scientific Reports 7:45303.
doi: 10.1038/srep45303
pmcid: PMC5394689
doi: 10.1038/srep45303
pmcid: PMC5394689
155.
S. D. Chapman, C. Adami, C. O. Wilke, D. B. KC (2017). The evolution of logic circuits for the purpose of protein contact map prediction. PeerJ 5:e3139.
doi: 10.7717/peerj.3139
pmcid: PMC5398280
doi: 10.7717/peerj.3139
pmcid: PMC5398280
154.
C. W. Brown, V. Sridhara, D. R. Boutz, M. D. Person, E. M. Marcotte, J. E. Barrick, C. O. Wilke (2017). Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions. BMC Genomics 18:301.
doi: 10.1186/s12864-017-3676-8
pmcid: PMC5392934
doi: 10.1186/s12864-017-3676-8
pmcid: PMC5392934
153.
E. L. Jackson, S. J. Spielman, C. O. Wilke (2017). Computational prediction of the tolerance to amino-acid deletion in green-fluorescent protein. PLoS ONE 12:e0164905.
doi: 10.1371/journal.pone.0164905
pmcid: PMC5378326
doi: 10.1371/journal.pone.0164905
pmcid: PMC5378326
152.
A. I. Teufel, C. O. Wilke (2017). Accelerated simulation of evolutionary trajectories in origin-fixation models. J. R. Soc. Interface 14:20160906.
doi: 10.1098/rsif.2016.0906
pmcid: PMC5332577
doi: 10.1098/rsif.2016.0906
pmcid: PMC5332577
2016
151.
M. Lipsitch, W. Barclay, R. Raman, C. J. Russell, J. A. Belser, S. Cobey, P. M. Kasson, J. O. Lloyd-Smith, S. Maurer-Stroh, S. Riley, C. A. A. Beauchemin, T. Bedford, T. C. Friedrich, A. Handel, S. Herfst, P. R. Murcia, B. Roche, C. O. Wilke, C. A. Russell (2016). Viral factors in influenza pandemic risk assessment. eLife 5:e18491.
doi: 10.7554/eLife.18491
pmcid: PMC5156527
doi: 10.7554/eLife.18491
pmcid: PMC5156527
150.
C. D. McWhite, A. G. Meyer, C. O. Wilke (2016). Sequence amplification via cell passaging creates spurious signals of positive adaptation in influenza virus H3N2 hemagglutinin. Virus Evol. 2:vew026.
doi: 10.1093/ve/vew026
pmcid: PMC5049878
doi: 10.1093/ve/vew026
pmcid: PMC5049878
149.
S. J. Spielman, C. O. Wilke (2016). Extensively parameterized mutation–selection models reliably capture site-specific selective constraint. Mol. Biol. Evol. 33:2990–3002.
doi: 10.1093/molbev/msw171
pmcid: PMC5062325
doi: 10.1093/molbev/msw171
pmcid: PMC5062325
148.
S. J. Spielman, S. Wan, C. O. Wilke (2016). A comparison of one-rate and two-rate inference frameworks for site-specific dN/dS estimation. Genetics 204:499–511.
doi: 10.1534/genetics.115.185264
pmcid: PMC5068842
doi: 10.1534/genetics.115.185264
pmcid: PMC5068842
147.
C. O. Wilke, S. L. Sawyer (2016). Adaptive evolution: At the mercy of viruses. eLife 5:e16758.
doi: 10.7554/eLife.16758
pmcid: PMC4869909
doi: 10.7554/eLife.16758
pmcid: PMC4869909
146.
B. R. Jack, A. G. Meyer, J. Echave, C. O. Wilke (2016). Functional sites induce long-range evolutionary constraints in enzymes. PLOS Biol 14:e1002452.
doi: 10.1371/journal.pbio.1002452
pmcid: PMC4854464
doi: 10.1371/journal.pbio.1002452
pmcid: PMC4854464
145.
C. O. Wilke, J. D. Bloom (2016). Protein Biophysics and Evolution. Kliman, R.M. (ed.), Encyclopedia of Evolutionary Biology. vol. 3, pp. 339–343. Oxford: Academic Press.
doi: 10.1016/B978-0-12-800049-6.00180-3
doi: 10.1016/B978-0-12-800049-6.00180-3
144.
A. Shahmoradi, C. O. Wilke (2016). Dissecting the roles of local packing density and longer-range effects in protein sequence evolution. Proteins 84:841–854.
doi: 10.1002/prot.25034
pmcid: PMC5292938
doi: 10.1002/prot.25034
pmcid: PMC5292938
143.
E. L. Jackson, A. Shahmoradi, S. J. Spielman, B. R. Jack, C. O. Wilke (2016). Intermediate divergence levels maximize the strength of structure–sequence correlations in enzymes and viral proteins. Protein Science 25:1341–1353.
doi: 10.1002/pro.2920
pmcid: PMC4918415
doi: 10.1002/pro.2920
pmcid: PMC4918415
142.
J. Echave, S. J. Spielman, C. O. Wilke (2016). Causes of evolutionary rate variation among protein sites. Nature Rev. Genet. 17:109–121.
doi: 10.1038/nrg.2015.18
pmcid: PMC4724262
doi: 10.1038/nrg.2015.18
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