Exploring genetic interactions and networks with yeast

A haplotype map of the human genome

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Functional organization of the yeast proteome by systematic analysis of protein complexes

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A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae

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Functional profiling of the Saccharomyces cerevisiae genome

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Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis

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Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry

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A comprehensive two-hybrid analysis to explore the yeast protein interactome

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Global landscape of protein complexes in the yeast Saccharomyces cerevisiae

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Proteome survey reveals modularity of the yeast cell machinery

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EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality Prediction

Wan, F., Li, S., Tian, T., Lei, Y., Zhao, D. Y., & Zeng, J. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.00112 · Cited by 33

Perspectives for metabolomics in human nutrition: an overview

Koulman, A., & Volmer, D. A. (2008) · Nutrition Bulletin · doi:10.1111/j.1467-3010.2008.00733.x · Cited by 33

Systems-level approaches for identifying and analyzing genetic interaction networks in Escherichia coli and extensions to other prokaryotes

Babu, M., Musso, G. A., Díaz-Mejía, J. J., Butland, G. P., Greenblatt, J. F., & Emili, A. (2009) · Molecular BioSystems · doi:10.1039/b907407d · Cited by 32

Synthetic Lethality between Gene Defects Affecting a Single Non-essential Molecular Pathway with Reversible Steps

Zinovyev, A. Y., Kuperstein, I., Barillot, E., & Heyer, W. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003016 · Cited by 32

Use of genetic and chemical synthetic lethality as probes of complexity in bacterial cell systems

Klobucar, K., & Brown, E. D. (2017) · FEMS Microbiology Reviews · doi:10.1093/femsre/fux054 · Cited by 31

Ist2 recruits the lipid transporters Osh6/7 to ER–PM contacts to maintain phospholipid metabolism

Wong, A. K. O., Young, B. P., & Loewen, C. J. R. (2021) · The Journal of Cell Biology · doi:10.1083/jcb.201910161 · Cited by 28

The Saccharomyces cerevisiae RAD9, RAD17 and RAD24 genes are required for suppression of mutagenic post-replicative repair during chronic DNA damage

Murakami, A., Huang, D., Piening, B., Bangur, C. S., & Paulovich, A. G. (2010) · DNA repair · doi:10.1016/j.dnarep.2010.04.007 · Cited by 28

Embracing Complex Associations in Common Traits: Critical Considerations for Precision Medicine

Hall, M. A., Moore, J. H., & Ritchie, M. D. (2016) · Trends in Genetics · doi:10.1016/j.tig.2016.06.001 · Cited by 30

From systems to structure — using genetic data to model protein structures

Braberg, H., Echeverria, I., Kaake, R. M., Šali, A., & Krogan, N. J. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-021-00441-w · Cited by 30

Synthetic Lethal Networks for Precision Oncology: Promises and Pitfalls

Shen, J. P., & Ideker, T. (2018) · Journal of Molecular Biology · doi:10.1016/j.jmb.2018.06.026 · Cited by 27

Functional protein representations from biological networks enable diverse cross-species inference

Fan, J., Cannistra, A. F., Fried, I., Lim, T., Schaffner, T., Crovella, M. E., Hescott, B. J., & Leiserson, M. D. M. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz132 · Cited by 26

Synthetic lethal gene pairs: Experimental approaches and predictive models

Tang, S., Gökbağ, B., Fan, K., Shao, S., Huo, Y., Wu, X., Cheng, L., & Li, L. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.961611 · Cited by 28

Alpha-tocopherol transfer protein disruption confers resistance to malarial infection in mice

Herbas, M. S., Ueta, Y. Y., Ichikawa, C., Chiba, M., Ishibashi, K., Shichiri, M., Fukumoto, S., Yokoyama, N., Takeya, M., Xuan, X., et al. (2010) · Malaria Journal · doi:10.1186/1475-2875-9-101 · Cited by 28

A Global Perspective of the Genetic Basis for Carbonyl Stress Resistance

Hoon, S. S., Gebbia, M., Costanzo, M., Davis, R. W., Giaever, G. N., & Nislow, C. (2011) · G3 Genes Genomes Genetics · doi:10.1534/g3.111.000505 · Cited by 27

Synthetic sickness or lethality points at candidate combination therapy targets in glioblastoma

Szczurek, E., Misra, N., & Vingron, M. (2013) · International Journal of Cancer · doi:10.1002/ijc.28235 · Cited by 27

The CINs of Polo-Like Kinase 1 in Cancer

Cunningham, C. E., MacAuley, M. J., Vizeacoumar, F. S., Abuhussein, O., Freywald, A., & Vizeacoumar, F. J. (2020) · Cancers · doi:10.3390/cancers12102953 · Cited by 29

Local coherence in genetic interaction patterns reveals prevalent functional versatility

Pu, S., Ronen, K., Vlasblom, J., Greenblatt, J. F., & Wodak, S. J. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn440 · Cited by 28

Multiallelic models of genetic effects and variance decomposition in non-equilibrium populations

Álvarez-Castro, J. M., & Yang, R. (2011) · Genetica · doi:10.1007/s10709-011-9614-9 · Cited by 27

Time-resolved mapping of genetic interactions to model rewiring of signaling pathways

Heigwer, F., Scheeder, C., Miersch, T., Schmitt, B. A., Blass, C., Pour-Jamnani, M. V., & Boutros, M. (2018) · eLife · doi:10.7554/elife.40174 · Cited by 25

SCRaMbLEing of a Synthetic Yeast Chromosome with Clustered Essential Genes Reveals Synthetic Lethal Interactions

Wang, P., Xu, H., Li, H., Chen, H., Zhou, S., Tian, F., Li, B., Bo, X., Wu, Y., & Yuan, Y. (2020) · ACS Synthetic Biology · doi:10.1021/acssynbio.0c00059 · Cited by 25

A High‐Throughput Approach for Studying Virus Replication in Yeast

Pogany, J., Panavas, T., Servienė, E., Nawaz‐ul‐Rehman, M. S., & Nagy, P. D. (2010) · Current Protocols in Microbiology · doi:10.1002/9780471729259.mc16j01s19 · Cited by 27

Exploring the conservation of synthetic lethal genetic interaction networks

Dixon, S. J., Andrews, B., & Boone, C. M. (2009) · Communicative & Integrative Biology · doi:10.4161/cib.7501 · Cited by 26

Genome-scale genetic manipulation methods for exploring bacterial molecular biology

Gagarinova, A. G., & Emili, A. (2012) · Molecular BioSystems · doi:10.1039/c2mb25040c · Cited by 27

Novel Interactions between Actin and the Proteasome Revealed by Complex Haploinsufficiency

Haarer, B. K., Aggeli, D., Viggiano, S. C., Burke, D. J., & Amberg, D. C. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002288 · Cited by 25

Targeting synthetic lethality between the SRC kinase and the EPHB6 receptor may benefit cancer treatment

Paul, J. M., Toosi, B. M., Vizeacoumar, F. S., Bhanumathy, K. K., Li, Y., Gerger, C. J., Zawily, A. M. E., Freywald, T., Anderson, D. H., Mousseau, D. D., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.10569 · Cited by 27

Interactive Proteomics: What Lies Ahead?

Suter, B., Kittanakom, S., & Štagljar, I. (2008) · BioTechniques · doi:10.2144/000112799 · Cited by 27

Genetic divergence and the genetic architecture of complex traits in chromosome substitution strains of mice

Spiezio, S. H., Takada, T., Shiroishi, T., & Nadeau, J. H. (2012) · BMC Genetics · doi:10.1186/1471-2156-13-38 · Cited by 27

Comprehensive Analyses of Nitric Oxide-Induced Plant Stem Cell-Related Genes in Arabidopsis thaliana

Shahid, M., Imran, Q. M., Hussain, A., Khan, M., Lee, S., Mun, B. G., & Yun, B. (2019) · Genes · doi:10.3390/genes10030190 · Cited by 27

The Caenorhabditis elegans anchor cell transcriptome: ribosome biogenesis drives cell invasion through basement membrane

Costa, D. S., Kenny-Ganzert, I. W., Chi, Q., Park, K., Kelley, L. C., Garde, A., Matus, D. Q., Park, J., Yogev, S., Goldstein, B., et al. (2023) · Development · doi:10.1242/dev.201570 · Cited by 26

Switch-like Transitions Insulate Network Motifs to Modularize Biological Networks

Atay, O., Doncic, A., & Skotheim, J. M. (2016) · Cell Systems · doi:10.1016/j.cels.2016.06.010 · Cited by 23

The fat tail of obesity as told by the genome

Herbert, A. G. (2008) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0b013e3283034990 · Cited by 27

Gene function prediction from synthetic lethality networks via ranking on demand

Lippert, C., Ghahramani, Z., & Borgwardt, K. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq053 · Cited by 25

Dynamic epistasis for different alleles of the same gene

Xu, L., Barker, B., & Gu, Z. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121507109 · Cited by 29

Genetic interaction profiles of regulatory kinases differ between environmental conditions and cellular states

Sun, S., Baryshnikova, A., Brandt, N., & Gresham, D. (2020) · Molecular Systems Biology · doi:10.15252/msb.20199167 · Cited by 25

eQTL Epistasis – Challenges and Computational Approaches

Huang, Y., Wuchty, S., & Przytycka, T. M. (2013) · Frontiers in Genetics · doi:10.3389/fgene.2013.00051 · Cited by 24

Quantifying Two-Dimensional Filamentous and Invasive Growth Spatial Patterns in Yeast Colonies

Binder, B. J., Sundstrom, J. F., Gardner, J. M., Jiranek, V., & Oliver, S. G. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004070 · Cited by 23

CRISPR-Based Therapies: Revolutionizing Drug Development and Precision Medicine

Chanchal, D. K., Chaudhary, J. S., Kumar, P., Agnihotri, N., & Porwal, P. (2024) · Current Gene Therapy · doi:10.2174/0115665232275754231204072320 · Cited by 25

Assembling global maps of cellular function through integrative analysis of physical and genetic networks

Srivas, R., Hannum, G., Ruscheinski, J., Ono, K., Wang, P., Smoot, M. E., & Ideker, T. (2011) · Nature Protocols · doi:10.1038/nprot.2011.368 · Cited by 24

A DNA Damage Response System Associated with the phosphoCTD of Elongating RNA Polymerase II

Winsor, T. S., Bartkowiak, B., Bennett, C. B., & Greenleaf, A. L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0060909 · Cited by 23

Re-defining synthetic lethality by phenotypic profiling for precision oncology

Akimov, Y. A., & Aittokallio, T. A. (2021) · Cell chemical biology · doi:10.1016/j.chembiol.2021.01.026 · Cited by 20

Convenient synthesis and delivery of a megabase-scale designer accessory chromosome empower biosynthetic capacity

Ma, Y., Su, S., Fu, Z., Zhou, C., Qiao, B., Wu, Y., & Yuan, Y. (2024) · Cell Research · doi:10.1038/s41422-024-00934-3 · Cited by 22

Uncharacterized ORF HUR1 influences the efficiency of non-homologous end-joining repair in Saccharomyces cerevisiae

Omidi, K., Jessulat, M., Hooshyar, M., Burnside, D. J., Schoenrock, A., Kazmirchuk, T. D. D., Hajikarimlou, M., Daniel, M., Moteshareie, H., Bhojoo, U., et al. (2017) · Gene · doi:10.1016/j.gene.2017.10.003 · Cited by 22

How Surrogate and Chemical Genetics in Model Organisms Can Suggest Therapies for Human Genetic Diseases

Strynatka, K. A., Gurrola-Gal, M. C., Berman, J. N., & McMaster, C. R. (2018) · Genetics · doi:10.1534/genetics.117.300124 · Cited by 25

The GTPase Arf1 Is a Determinant of Yeast Vps13 Localization to the Golgi Apparatus

Kołakowski, D., Rzepnikowska, W., Kaniak, A., Żołądek, T., & Kamińska, J. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222212274 · Cited by 21

Systematic Genetic Interaction Analysis Identifies a Transcription Factor Circuit Required for Oropharyngeal Candidiasis

Solis, N. V., Wakade, R. S., Glazier, V. E., Ollinger, T. L., Wellington, M. A., Mitchell, A. P., Filler, S. G., & Krysan, D. J. (2022) · mBio · doi:10.1128/mbio.03447-21 · Cited by 19

Functional organization of the yeast proteome by a yeast interactome map

Valente, A. X. C. N., Roberts, S. B., Buck, G. A., & Gao, Y. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808624106 · Cited by 21

SGAM: An Array-Based Approach for High-Resolution Genetic Mapping in Saccharomyces cerevisiae

Costanzo, M., & Boone, C. M. (2009) · Methods in molecular biology · doi:10.1007/978-1-59745-540-4_3 · Cited by 21

Targeting the CINful genome: Strategies to overcome tumor heterogeneity

Cunningham, C. E., MacAuley, M. J., Yadav, G., Vizeacoumar, F. S., Freywald, A., & Vizeacoumar, F. J. (2019) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2019.02.006 · Cited by 19

Experimental evolution of protein–protein interaction networks

Kaçar, B., & Gaucher, E. A. (2013) · Biochemical Journal · doi:10.1042/bj20130205 · Cited by 20

Lithium Chloride Sensitivity in Yeast and Regulation of Translation

Hajikarimlou, M., Hunt, K., Kirby, G., Takallou, S., Jagadeesan, S. K., Omidi, K., Hooshyar, M., Burnside, D. J., Moteshareie, H., Babu, M., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21165730 · Cited by 20

A rational multi-target combination strategy for synergistic improvement of non-ribosomal peptide production

Yan, H., Xin, Z., Sang, Z., Li, X., Xie, J., Wu, J., Pang, S., Wen, Y., & Wang, W. (2025) · Nature Communications · doi:10.1038/s41467-025-57073-5 · Cited by 20

Identifying Pseudomonas syringae Type III Secreted Effector Function via a Yeast Genomic Screen

Lee, A. H., Bastedo, D. P., Lo, T., Middleton, M. A., Youn, J., Kireeva, I., Lee, J. Y., Sharifpoor, S., Baryshnikova, A., Zhang, J., et al. (2018) · G3 Genes Genomes Genetics · doi:10.1534/g3.118.200877 · Cited by 18

Predicting genetic interactions from Boolean models of biological networks

Calzone, L., Barillot, E., & Zinovyev, A. Y. (2015) · Integrative Biology · doi:10.1039/c5ib00029g · Cited by 19

Approaches to Biomarkers in Human Colorectal Cancer: Looking Back, to go Forward

Nibbe, R. K., & Chance, M. R. (2009) · Biomarkers in Medicine · doi:10.2217/bmm.09.33 · Cited by 19

Differential analysis of high-throughput quantitative genetic interaction data

Bean, G. J., & Ideker, T. (2012) · Genome biology · doi:10.1186/gb-2012-13-12-r123 · Cited by 19

Modularity and predictability in cell signaling and decision making

Atay, O., & Skotheim, J. M. (2014) · Molecular Biology of the Cell · doi:10.1091/mbc.e14-02-0718 · Cited by 20

Yeast Mitochondrial Protein–Protein Interactions Reveal Diverse Complexes and Disease-Relevant Functional Relationships

Jin, K., Musso, G. A., Vlasblom, J., Jessulat, M., Deineko, V., Negroni, J., Mosca, R., Malty, R. H., Nguyen‐Tran, D., Aoki, H., et al. (2014) · Journal of Proteome Research · doi:10.1021/pr501148q · Cited by 19

Altered development, oxidative stress and DNA damage in Leptodactylus chaquensis (Anura: Leptodactylidae) larvae exposed to poultry litter

Curi, L. M., Peltzer, P. M., Martinuzzi, C. S., Attademo, M. A., Seib, S. N., Simoniello, M. F., & Lajmanovích, R. C. (2017) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2017.05.007 · Cited by 19

Quantitative maps of genetic interactions in yeast - Comparative evaluation and integrative analysis

Lindén, R., Eronen, V.-P., & Aittokallio, T. A. (2011) · BMC Systems Biology · doi:10.1186/1752-0509-5-45 · Cited by 17

Functional enrichment analyses and construction of functional similarity networks with high confidence function prediction by PFP

Hawkins, T., Chitale, M., & Kihara, D. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-265 · Cited by 20

Tuning acetylated chromatin with HAT inhibitors: A novel tool for therapy

Vernarecci, S., Tosi, F., & Filetici, P. (2010) · Epigenetics · doi:10.4161/epi.5.2.10942 · Cited by 18

Mapping Haplotype-haplotype Interactions with Adaptive LASSO

Li, M., Romero, R. J., Fu, W. J., & Cui, Y. (2010) · BMC Genetics · doi:10.1186/1471-2156-11-79 · Cited by 18

Evolutionary design principles in metabolism

Sambamoorthy, G., Sinha, H., & Raman, K. (2019) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2019.0098 · Cited by 20

Natural Deep Eutectic Extracts of Propolis, Sideritis scardica , and Plantago major Reveal Potential Antiageing Activity during Yeast Chronological Lifespan

Vasileva, B., Staneva, D., Grozdanova, T., Petkov, H., Trusheva, B., Alipieva, K. I., Popova, M., Miloshev, G. A., Bankova, V. S., & Georgieva, M. (2022) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2022/8368717 · Cited by 20

Genetic analyses using a mouse cell cycle mutant identifies magoh as a novel gene involved in Cdk regulation

Inaki, M., Kato, D., Utsugi, T., Onoda, F., Hanaoka, F., & Murakami, Y. (2011) · Genes to Cells · doi:10.1111/j.1365-2443.2010.01479.x · Cited by 18

Protein profile and protein interaction network of Moniliophthora perniciosa basidiospores

Mares, J. H., Gramacho, K. P., dos Santos, E. C., Santiago, A. D. S., Silva, E. M. D. A., Alvim, F. C., & Pirovani, C. P. (2016) · BMC Microbiology · doi:10.1186/s12866-016-0753-0 · Cited by 18

Differential regulation of cryptic genetic variation shapes the genetic interactome underlying complex traits

Yadav, A., Dhole, K., & Sinha, H. (2016) · Genome Biology and Evolution · doi:10.1093/gbe/evw258 · Cited by 18

Comparative functional genomic screens of three yeast deletion collections reveal unexpected effects of genotype in response to diverse stress

Acton, E., Lee, A. H., Zhao, P., Flibotte, S., Neira, M., Sinha, S., Chiang, J., Flaherty, P., Nislow, C., & Giaever, G. N. (2017) · Open Biology · doi:10.1098/rsob.160330 · Cited by 18

Glucose causes primary necrosis in exponentially grown yeast Saccharomyces cerevisiae

Valiakhmetov, A. Y., Kuchin, A. V., Сузина, Н. Е., Zvonarev, A. N., & Shepelyakovskaya, A. O. (2019) · FEMS Yeast Research · doi:10.1093/femsyr/foz019 · Cited by 17

The genetic interaction map of the human solute carrier superfamily

Wolf, G., Leippe, P., Onstein, S., Goldmann, U., Frommelt, F., Teoh, S. T., Girardi, E., Wiedmer, T., & Superti‐Furga, G. (2025) · Molecular Systems Biology · doi:10.1038/s44320-025-00105-5 · Cited by 18

Exploiting Synthetic Lethality and Network Biology to Overcome EGFR Inhibitor Resistance in Lung Cancer

Vyse, S., Howitt, A., & Huang, P. H. (2017) · Journal of Molecular Biology · doi:10.1016/j.jmb.2017.04.018 · Cited by 16

Computational Prediction of Protein Complexes from Protein Interaction Networks

Srihari, S., Yong, C. H., & Wong, L. (2017) · doi:10.1145/3064650 · Cited by 17

Genetic Interaction Network as an Important Determinant of Gene Order in Genome Evolution

Yang, Y., Cao, W., Wu, S., & Qian, W. (2017) · Molecular Biology and Evolution · doi:10.1093/molbev/msx264 · Cited by 17

A network approach to exploring the functional basis of gene–gene epistatic interactions in disease susceptibility

Yip, D. K.-S., Chan, L. L., Pang, I., Jiang, W., Tang, N. L. S., Yu, W., & Yip, K. Y.-L. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty005 · Cited by 17

Sensitivity of yeast to lithium chloride connects the activity of YTA6 and YPR096C to translation of structured mRNAs

Hajikarimlou, M., Moteshareie, H., Omidi, K., Hooshyar, M., Shaikho, S., Kazmirchuk, T. D. D., Burnside, D. J., Takallou, S., Zare, N., Jagadeesan, S. K., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0235033 · Cited by 17

Inference of active transcriptional networks by integration of gene expression kinetics modeling and multisource data

Vu, T. T., & Vohradský, J. (2009) · Genomics · doi:10.1016/j.ygeno.2009.01.006 · Cited by 17

Multiple functionalities of molecular chaperones revealed through systematic mapping of their interaction networks

Rizzolo, K., & Houry, W. A. (2018) · Journal of Biological Chemistry · doi:10.1074/jbc.tm118.002805 · Cited by 17

Systems-level identification of key transcription factors in immune cell specification

Liu, C., Omilusik, K. D., Toma, C., Kurd, N. S., Chang, J. T., Goldrath, A. W., & Wang, W. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010116 · Cited by 15

Current situation and future usage of anticancer drug databases

Wang, H., Yin, Y., Wang, P., Xiong, C., Huang, L., Li, S., Li, X., & Fu, L. (2016) · APOPTOSIS · doi:10.1007/s10495-016-1250-5 · Cited by 16

Array-Based Synthetic Genetic Screens to Map Bacterial Pathways and Functional Networks in Escherichia coli

Babu, M., Gagarinova, A. G., Greenblatt, J. F., & Emili, A. (2011) · Methods in molecular biology · doi:10.1007/978-1-61779-197-0_9 · Cited by 16

Physical and genetic-interaction density reveals functional organization and informs significance cutoffs in genome-wide screens

Dittmar, J. C., Pierce, S. E., Rothstein, R. J., & Reid, R. J. D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219582110 · Cited by 16

A Simple Yeast-Based Strategy to Identify Host Cellular Processes Targeted by Bacterial Effector Proteins

Bosis, E., Salomon, D., & Sessa, G. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027698 · Cited by 16

The cooperative genome: organisms as social contracts

Weiss, K. M., & Buchanan, A. V. (2009) · The International Journal of Developmental Biology · doi:10.1387/ijdb.072497kw · Cited by 16

Pleiotropic Effect of Common Variants at ABO Glycosyltranferase Locus in 9q32 on Plasma Levels of Pancreatic Lipase and Angiotensin Converting Enzyme

Yamagata University Genomic Cohort Consortium (YUGCC) (2014) · PLoS ONE · doi:10.1371/journal.pone.0055903 · Cited by 15

Reverse Chemical Genetics: Comprehensive Fitness Profiling Reveals the Spectrum of Drug Target Interactions

Wong, L. H., Sinha, S., Bergeron, J. R. C., Mellor, J. C., Giaever, G. N., Flaherty, P., & Nislow, C. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1006275 · Cited by 16

Fine tuning chemotherapy to match BRCA1 status

Price, M. L., & Monteiro, Á. N. A. (2010) · Biochemical Pharmacology · doi:10.1016/j.bcp.2010.05.015 · Cited by 17

Genetic suppression: Extending our knowledge from lab experiments to natural populations

Matsui, T., Lee, J. T., & Ehrenreich, I. M. (2017) · BioEssays · doi:10.1002/bies.201700023 · Cited by 15

Research progress and application strategies of sugar transport mechanisms in rice

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Systems biology of heart failure, challenges and hopes

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