The Proceedings of the National Academy of Sciences

Practical significance: a concept whose time has come

Kirk, R. E. (1996) · Educational and Psychological Measurement · doi:10.1177/0013164496056005002 · Cited by 1,778

Deep Image Retrieval: Learning Global Representations for Image Search

Gordo, A., Almazán, J., Revaud, J., & Larlus, D. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46466-4_15 · Cited by 787

The rise in ocean plastics evidenced from a 60-year time series

Ostle, C., Thompson, R. C., Broughton, D., Gregory, L., Wootton, M., & Johns, D. G. (2019) · Nature Communications · doi:10.1038/s41467-019-09506-1 · Cited by 469

Transcriptome sequencing in an ecologically important tree species: assembly, annotation, and marker discovery

Parchman, T. L., Geist, K. S., Grahnen, J. A., Benkman, C. W., & Buerkle, C. A. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-180 · Cited by 446

A Comparison of MCC and CEN Error Measures in Multi-Class Prediction

Jurman, G., Riccadonna, S., & Furlanello, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041882 · Cited by 406

The intense world syndrome-an alternative hypothesis for autism

Markram, H. (2007) · Frontiers in Neuroscience · doi:10.3389/neuro.01.1.1.006.2007 · Cited by 394

Don’t get it or don’t spread it: comparing self-interested versus prosocial motivations for COVID-19 prevention behaviors

Jordan, J. J., Yoeli, E., & Rand, D. G. (2021) · Scientific Reports · doi:10.1038/s41598-021-97617-5 · Cited by 350

Paleoecological Perspectives on Fire Ecology: Revisiting the Fire-Regime Concept~!2009-09-02~!2009-11-09~!2010-03-05~!

Whitlock, C., Higuera, P. E., McWethy, D. B., & Briles, C. E. (2010) · The Open Ecology Journal · doi:10.2174/1874213001003020006 · Cited by 342

Testing theory of mind in large language models and humans

Strachan, J. W. A., Albergo, D., Borghini, G., Pansardi, O., Scaliti, E., Gupta, S., Saxena, K., Rufo, A., Panzeri, S., Manzi, G., et al. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01882-z · Cited by 299

Exosomes derived from bone-marrow mesenchymal stem cells alleviate cognitive decline in AD-like mice by improving BDNF-related neuropathology

Liu, S., Fan, M., Xu, J.-X., Yang, L.-J., Qi, C.-C., Xia, Q.-R., & Ge, J.-F. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02393-2 · Cited by 296

Enzymatic DNA synthesis for digital information storage.

Lee, H. H., Kalhor, R., Goela, N., Bolot, J., & Church, G. M. (2018) · doi:10.1101/348987 · Cited by 265

Improved protein structure prediction by deep learning irrespective of co-evolution information

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Machine Learning Methods in Weather and Climate Applications: A Survey

Chen, L., Han, B., Wang, X., Zhao, J., Yang, W., & Yang, Z. (2023) · doi:10.20944/preprints202309.1764.v2 · Cited by 246

DynamicBind: predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model

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Mind Wandering in Chinese Daily Lives – An Experience Sampling Study

Song, X., & Wang, X. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044423 · Cited by 232

Historic and prehistoric human-driven extinctions have reshaped global mammal diversity patterns

Faurby, S., & Svenning, J.-C. (2015) · Diversity and Distributions · doi:10.1111/ddi.12369 · Cited by 226

Scaling of Traction Forces with the Size of Cohesive Cell Colonies

Mertz, A. F., Banerjee, S., Che, Y., German, G. K., Xu, Y., Hyland, C., Marchetti, M. C., Horsley, V., & Dufresne, E. R. (2012) · Physical Review Letters · doi:10.1103/physrevlett.108.198101 · Cited by 190

Deep learning for small and big data in psychiatry

Koppe, G., Meyer-Lindenberg, A., & Durstewitz, D. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-0767-z · Cited by 189

A network medicine approach to investigation and population-based validation of disease manifestations and drug repurposing for COVID-19

Zhou, Y., Hou, Y., Shen, J., Mehra, R., Kallianpur, A., Culver, D. A., Gack, M. U., Farha, S., Zein, J., Comhair, S., et al. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000970 · Cited by 180

Changes in Community Structure of Resting State Functional Connectivity in Unipolar Depression

Lord, A., Horn, D., Breakspear, M., & Walter, M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041282 · Cited by 174

Neural synchrony in mother-child conversation: Exploring the role of conversation patterns

Nguyen, T., Schleihauf, H., Kayhan, E., Matthes, D., Vrtička, P., & Hoehl, S. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa079 · Cited by 165

Analytical framework to evaluate the level of integration of climate adaptation and mitigation in cities

Grafakos, S., Trigg, K., Landauer, M., Chelleri, L., & Dhakal, S. (2019) · Climatic Change · doi:10.1007/s10584-019-02394-w · Cited by 174

Neuronal connectivity in major depressive disorder: a systematic review

Helm, K., Viol, K., Weiger, T. M., Tass, P. A., Grefkes, C., del Monte, D., & Schiepek, G. (2018) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s170989 · Cited by 164

A route for the direct crystallization of dolomite

Rodriguez-Blanco, J. D., Shaw, S., & Benning, L. G. (2015) · American Mineralogist · doi:10.2138/am-2015-4963 · Cited by 161

Measuring Group Differences in High-Dimensional Choices: Method and Application to Congressional Speech

Gentzkow, M., Shapiro, J., & Taddy, M. (2016) · doi:10.3386/w22423 · Cited by 159

Analysis and best parameters selection for person recognition based on gait model using CNN algorithm and image augmentation

Saleh, A. M., & Hamoud, T. (2021) · Journal of Big Data · doi:10.1186/s40537-020-00387-6 · Cited by 158

Estrogen Regulation of MicroRNA Expression

Klinge, C. (2009) · Current Genomics · doi:10.2174/138920209788185289 · Cited by 156

A gene regulatory network model for floral transition of the shoot apex in maize and its dynamic modeling

Dong, Z., Danilevskaya, O., Abadie, T., Messina, C., Coles, N., & Cooper, M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043450 · Cited by 133

Auditory Processing in High-Functioning Adolescents with Autism Spectrum Disorder

DePape, A.-M. R., Hall, G. B. C., Tillmann, B., & Trainor, L. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044084 · Cited by 139

Preserved Self-Awareness following Extensive Bilateral Brain Damage to the Insula, Anterior Cingulate, and Medial Prefrontal Cortices

Philippi, C. L., Feinstein, J. S., Khalsa, S. S., Damasio, A., Tranel, D., Landini, G., Williford, K., & Rudrauf, D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038413 · Cited by 144

Metal transporters in organelles and their roles in heavy metal transportation and sequestration mechanisms in plants

Jogawat, A., Yadav, B., Chhaya, & Narayan, O. P. (2021) · Physiologia Plantarum · doi:10.1111/ppl.13370 · Cited by 140

Downscaling and bias-correction contribute considerable uncertainty to local climate projections in CMIP6

Lafferty, D. C., & Sriver, R. L. (2023) · npj Climate and Atmospheric Science · doi:10.1038/s41612-023-00486-0 · Cited by 139

At Issue: Schizophrenia and Rheumatoid Arthritis: The Negative Association Revisited

Oken, R. J., & Schulzer, M. (1999) · Schizophrenia Bulletin · doi:10.1093/oxfordjournals.schbul.a033407 · Cited by 129

Persistence of plastic debris and its colonization by bacterial communities after two decades on the abyssal seafloor

Krause, S., Molari, M., Gorb, E. V., Gorb, S. N., Kossel, E., & Haeckel, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-66361-7 · Cited by 125

Why voters who value democracy participate in democratic backsliding

Braley, A., Lenz, G. S., Adjodah, D., Rahnama, H., & Pentland, A. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01594-w · Cited by 138

The impacts of remote learning in secondary education during the pandemic in Brazil

Lichand, G., Doria, C. A., Leal-Neto, O., & Fernandes, J. P. C. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01350-6 · Cited by 139

Comparative functional genomics analysis of cytochrome P450 gene superfamily in wheat and maize

Li, Y., & Wei, K. (2020) · BMC Plant Biology · doi:10.1186/s12870-020-2288-7 · Cited by 119

MicroRNA Expression Profiling of Oligodendrocyte Differentiation from Human Embryonic Stem Cells

Letzen, B. S., Liu, C., Thakor, N. V., Gearhart, J. D., All, A. H., & Kerr, C. L. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010480 · Cited by 119

Identification of trypsin-degrading commensals in the large intestine

Li, Y., Watanabe, E., Kawashima, Y., Plichta, D. R., Wang, Z., Ujike, M., Ang, Q. Y., Wu, R., Furuichi, M., Takeshita, K., et al. (2022) · Nature · doi:10.1038/s41586-022-05181-3 · Cited by 106

Parkinson’s Disease–Associated LRRK2 Interferes with Astrocyte-Mediated Alpha-Synuclein Clearance

Streubel-Gallasch, L., Giusti, V., Sandre, M., Tessari, I., Plotegher, N., Giusto, E., Masato, A., Iovino, L., Battisti, I., Arrigoni, G., et al. (2021) · Molecular Neurobiology · doi:10.1007/s12035-021-02327-8 · Cited by 100

Coloring Molecules with Explainable Artificial Intelligence for Preclinical Relevance Assessment

Jiménez-Luna, J., Skalic, M., Weskamp, N., & Schneider, G. (2021) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.0c01344 · Cited by 96

An integrated gene-to-outcome multimodal database for metabolic dysfunction-associated steatotic liver disease

Kendall, T. J., Jimenez-Ramos, M., Turner, F., Ramachandran, P., Minnier, J., McColgan, M. D., Alam, M., Ellis, H., Dunbar, D. R., Kohnen, G., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02602-2 · Cited by 92

The advantages of a tapered whisker

Williams, C. M., & Kramer, E. M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0008806 · Cited by 91

Short-term and long-term effects of a social network intervention on friendships among university students

Boda, Z., Elmer, T., Vörös, A., & Stadtfeld, C. (2020) · Scientific Reports · doi:10.1038/s41598-020-59594-z · Cited by 87

Alteration of Cellular Behavior and Response to PI3K Pathway Inhibition by Culture in 3D Collagen Gels

Fallica, B., Maffei, J. S., Villa, S., Makin, G., & Zaman, M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048024 · Cited by 84

GSK3 and p53 - is there a link in Alzheimer's disease?

Proctor, C. J., & Gray, D. A. (2010) · Molecular Neurodegeneration · doi:10.1186/1750-1326-5-7 · Cited by 80

Insights into decontamination of soils by phytoremediation: A detailed account on heavy metal toxicity and mitigation strategies

Rai, G. K., Bhat, B. A., Mushtaq, M., Tariq, L., Rai, P. K., Basu, U., Dar, A. A., Islam, S. T., Dar, T. U. H., & Bhat, J. A. (2021) · Physiologia Plantarum · doi:10.1111/ppl.13433 · Cited by 80

A global survey of prokaryotic genomes reveals the eco-evolutionary pressures driving horizontal gene transfer

Dmitrijeva, M., Tackmann, J., Matias Rodrigues, J. F., Huerta-Cepas, J., Coelho, L. P., & von Mering, C. (2024) · Nature Ecology & Evolution · doi:10.1038/s41559-024-02357-0 · Cited by 72

Oxygen minimum zones in the early Cambrian ocean

Guilbaud, R., Slater, B. J., Poulton, S. W., Harvey, T. H. P., Brocks, J. J., Nettersheim, B. J., & Butterfield, N. J. (2018) · Geochemical Perspectives Letters · doi:10.7185/geochemlet.1806 · Cited by 69

A framework for enhancing the social good in computing education: a values approach

Goldweber, M., Barr, J., Clear, T., Davoli, R., Mann, S., Patitsas, E., & Portnoff, S. (2013) · ACM Inroads · doi:10.1145/2432596.2432616 · Cited by 65

Structural Basis for Inhibition of Mutant EGFR with Lazertinib (YH25448)

Heppner, D. E., Wittlinger, F., Beyett, T. S., Shaurova, T., Urul, D. A., Buckley, B., Pham, C. D., Schaeffner, I. K., Yang, B., Ogboo, B. C., et al. (2022) · ACS Medicinal Chemistry Letters · doi:10.1021/acsmedchemlett.2c00213 · Cited by 64

Reorganisation of Earth’s biogeochemical cycles briefly oxygenated the oceans 520 Myr ago

Dahl, T. W., Connelly, J. N., Kouchinsky, A., Gill, B. C., Månsson, S. F., & Bizzarro, M. (2017) · Geochemical Perspectives Letters · doi:10.7185/geochemlet.1724 · Cited by 63

A scoping review of fair machine learning techniques when using real-world data

Huang, Y., Guo, J., Chen, W.-H., Lin, H.-Y., Tang, H., Wang, F., Xu, H., & Bian, J. (2024) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2024.104622 · Cited by 61

Epistemic Communities under Active Inference

Albarracin, M., Demekas, D., Ramstead, M. J. D., & Heins, C. (2022) · Entropy · doi:10.3390/e24040476 · Cited by 60

Genetic and phenotypic consequences of early domestication in black soldier flies (Hermetia illucens)

Rhode, C., Badenhorst, R., Hull, K. L., Greenwood, M. P., Bester‐van der Merwe, A. E., Andere, A. A., Picard, C. J., & Richards, C. (2020) · Animal Genetics · doi:10.1111/age.12961 · Cited by 58

Reinforcement Quantum Annealing: A Hybrid Quantum Learning Automata

Ayanzadeh, R., Halem, M., & Finin, T. (2020) · Scientific Reports · doi:10.1038/s41598-020-64078-1 · Cited by 57

Human GLP1R variants affecting GLP1R cell surface expression are associated with impaired glucose control and increased adiposity

Gao, W., Liu, L., Huh, E., Gbahou, F., Cecon, E., Oshima, M., Houzé, L., Katsonis, P., Hegron, A., Fan, Z., et al. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00889-6 · Cited by 56

The size of the immune repertoire of bacteria

Bradde, S., Nourmohammad, A., Goyal, S., & Balasubramanian, V. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1903666117 · Cited by 52

Emotion perception in Hadza hunter-gatherers

Gendron, M., Hoemann, K., Crittenden, A. N., Mangola, S. M., Ruark, G. A., & Barrett, L. F. (2020) · Scientific Reports · doi:10.1038/s41598-020-60257-2 · Cited by 52

ADHD subtype-specific cognitive correlates and association with self-esteem: a quantitative difference

Molavi, P., Nadermohammadi, M., Salvat Ghojehbeiglou, H., Vicario, C. M., Nitsche, M. A., & Salehinejad, M. A. (2020) · BMC Psychiatry · doi:10.1186/s12888-020-02887-4 · Cited by 51

Explore Protein Conformational Space With Variational Autoencoder

Tian, H., Jiang, X., Trozzi, F., Xiao, S., Larson, E. C., & Tao, P. (2021) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.781635 · Cited by 51

Examining the evolution of the Twitter elite network

Motamedi, R., Jamshidi, S., Rejaie, R., & Willinger, W. (2020) · Social Network Analysis and Mining · doi:10.1007/s13278-019-0612-8 · Cited by 50

Codon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codon

Rosenberg, A. A., Marx, A., & Bronstein, A. M. (2022) · Nature Communications · doi:10.1038/s41467-022-30390-9 · Cited by 48

A Structure-Based View on ABC-Transporter Linked to Multidrug Resistance

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Removing the Emperor's Clothes: Australia and tobacco plain packaging

Chapman, S., & Freeman, B. (2014) · doi:10.30722/sup.9781743323977 · Cited by 46

Binary DNA Nanostructures for Data Encryption

Halvorsen, K., & Wong, W. P. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044212 · Cited by 45

Mental navigation and the neural mechanisms of insight

Aru, J., Drüke, M., Pikamäe, J., & Larkum, M. E. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2022.11.002 · Cited by 38

EnzyHTP: A High-Throughput Computational Platform for Enzyme Modeling

Shao, Q., Jiang, Y., & Yang, Z. J. (2022) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.1c01424 · Cited by 43

Exceptional error minimization in putative primordial genetic codes

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Effect of chemically synthesized psilocybin and psychedelic mushroom extract on molecular and metabolic profiles in mouse brain

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Deep phenotyping reveals movement phenotypes in mouse neurodevelopmental models

Klibaite, U., Kislin, M., Verpeut, J. L., Bergeler, S., Sun, X., Shaevitz, J. W., & Wang, S. S.-H. (2022) · Molecular Autism · doi:10.1186/s13229-022-00492-8 · Cited by 41

Human biases limit cumulative innovation

Thompson, B., & Griffiths, T. L. (2021) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2020.2752 · Cited by 40

Reducing anxiety, geriatric depression and worry in a sample of older adults through a mindfulness training program

Franco, C., Amutio, A., Mañas, I., Gázquez, J. J., & Pérez-Fuentes, M. D. C. (2017) · Terapia psicológica · doi:10.4067/s0718-48082017000100007 · Cited by 39

Biodegradation of microplastic in freshwaters: a long-lasting process affected by the lake microbiome

Taipale, S. J., Vesamäki, J., Kautonen, P., Kukkonen, J. V. K., Biasi, C., Nissinen, R., & Tiirola, M. (2023) · Environmental Microbiology · doi:10.1111/1462-2920.16177 · Cited by 37

Causes and consequences of end-Ediacaran extinction – an update

Darroch, S. A. F., Smith, E. F., Nelson, L. L., Craffey, M., Schiffbauer, J. D., & Laflamme, M. (2023) · Cambridge Prisms: Extinction · doi:10.1017/ext.2023.12 · Cited by 37

Anthropogenic burning and the Anthropocene in late-Holocene California

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Ancient and recycled sulfur sampled by the Iceland mantle plume

Ranta, E., Gunnarsson-Robin, J., Halldórsson, S. A., Ono, S., Izon, G., Jackson, M. G., Reekie, C. D. J., Jenner, F. E., Guðfinnsson, G. H., Jónsson, Ó. P., et al. (2022) · Earth and Planetary Science Letters · doi:10.1016/j.epsl.2022.117452 · Cited by 34

Encoding Method of Single-cell Spatial Transcriptomics Sequencing

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High-Precision Propagation-Loss Measurement of Single-Mode Optical Waveguides on Lithium Niobate on Insulator

Lin, J., Zhou, J., Wu, R., Wang, M., Fang, Z., Chu, W., Zhang, J., Qiao, L., & Cheng, Y. (2019) · Micromachines · doi:10.3390/mi10090612 · Cited by 31

Structure and activation of the RING E3 ubiquitin ligase TRIM72 on the membrane

Park, S. H., Han, J., Jeong, B.-C., Song, J. H., Jang, S. H., Jeong, H., Kim, B. H., Ko, Y.-G., Park, Z.-Y., Lee, K. E., et al. (2023) · Nature Structural & Molecular Biology · doi:10.1038/s41594-023-01111-7 · Cited by 31

Phage defence system CBASS is regulated by a prokaryotic E2 enzyme that imitates the ubiquitin pathway

Yan, Y., Xiao, J., Huang, F., Xian, W., Yu, B., Cheng, R., Wu, H., Lu, X., Wang, X., Huang, W., et al. (2024) · Nature Microbiology · doi:10.1038/s41564-024-01684-z · Cited by 29

An integrative data-driven model simulating C. elegans brain, body and environment interactions

Zhao, M., Wang, N., Jiang, X., Ma, X., Ma, H., He, G., Du, K., Ma, L., & Huang, T. (2024) · Nature Computational Science · doi:10.1038/s43588-024-00738-w · Cited by 29

Arctic tropospheric ozone: assessment of current knowledge and model performance

Whaley, C. H., Law, K. S., Hjorth, J. L., Skov, H., Arnold, S. R., Langner, J., Pernov, J. B., Bergeron, G., Bourgeois, I., Christensen, J. H., et al. (2023) · Atmospheric Chemistry and Physics · doi:10.5194/acp-23-637-2023 · Cited by 28

Mutexa: A Computational Ecosystem for Intelligent Protein Engineering

Yang, Z. J., Shao, Q., Jiang, Y., Jurich, C., Ran, X., Juarez, R. J., Yan, B., Stull, S. L., Gollu, A., & Ding, N. (2023) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.3c00602 · Cited by 28

Potential land use competition from first-generation biofuel expansion in developing countries

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In Silico Characterization and Expression Profiles of Heat Shock Transcription Factors (HSFs) in Maize (Zea mays L.)

Haider, S., Rehman, S., Ahmad, Y., Raza, A., Tabassum, J., Javed, T., Osman, H. S., & Mahmood, T. (2021) · Agronomy · doi:10.3390/agronomy11112335 · Cited by 26

Structural basis for an early stage of the photosystem II repair cycle in Chlamydomonas reinhardtii

Li, A., You, T., Pang, X., Wang, Y., Tian, L., Li, X., & Liu, Z. (2024) · Nature Communications · doi:10.1038/s41467-024-49532-2 · Cited by 26

Expression of mitochondrial protein genes encoded by nuclear and mitochondrial genomes correlate with energy metabolism in dairy cattle

Dorji, J., Vander Jagt, C. J., Garner, J. B., Marett, L. C., Mason, B. A., Reich, C. M., Xiang, R., Clark, E. L., Cocks, B. G., Chamberlain, A. J., et al. (2020) · BMC Genomics · doi:10.1186/s12864-020-07018-7 · Cited by 26

From Involution to Education: A Glance to Chinese Young Generation

Li, C. (2021) · Advances in Social Science, Education and Humanities Research · doi:10.2991/assehr.k.211220.320 · Cited by 23

IntEnzyDB: an Integrated Structure–Kinetics Enzymology Database

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LLM-KGMQA: large language model-augmented multi-hop question-answering system based on knowledge graph in medical field

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Biosensor Guided Polyketide Synthases Engineering for Optimization of Domain Exchange Boundaries

Englund, E., Schmidt, M., Nava, A. A., Klass, S., Keiser, L., Dan, Q., Katz, L., Yuzawa, S., & Keasling, J. D. (2023) · Nature Communications · doi:10.1038/s41467-023-40464-x · Cited by 22

Mindfulness Training Improves Attention: Evidence from Behavioral and Event-related Potential Analyses

Liu, Y., Hou, Y., Quan, H., Zhao, D., Zhao, J., Cao, B., Pang, Y., Chen, H., Lei, X., & Yuan, H. (2023) · Brain Topography · doi:10.1007/s10548-023-00938-z · Cited by 22

How much can we differentiate at a brief glance: revealing the truer limit in conscious contents through the massive report paradigm (MRP)

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Conceptualización del comportamiento emocional y la adicción a las redes sociales virtuales

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Bibenzyl synthesis in Cannabis sativa L.

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Arabidopsis calmodulin‐like proteins CML13 and CML14 interact with proteins that have IQ domains

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