Vidal, Marc

VirusMINT: a viral protein interaction database

Chatr-aryamontri, A., Ceol, A., Peluso, D., Nardozza, A., Panni, S., Sacco, F., Tinti, M., Smolyar, A., Castagnoli, L., Vidal, M., et al. (2009) · Nucleic Acids Research

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 213

Mycobacterium tuberculosis Type VII Secreted Effector EsxH Targets Host ESCRT to Impair Trafficking

Mehra, A., Zahra, A., Thompson, V., Sirisaengtaksin, N., Wells, A., Porto, M., Köster, S., Penberthy, K., Kubota, Y., Dricot, A., et al. (2013) · PLoS Pathogens

Tuberculosis Research and EpidemiologyCellular transport and secretion

Cited by 192

A framework for exhaustively mapping functional missense variants

Weile, J., Sun, S., Cote, A. G., Knapp, J., Verby, M., Mellor, J. C., Wu, Y., Pons, C., Wong, C., van Lieshout, N., et al. (2017) · Molecular Systems Biology

Genomics and Rare DiseasesCRISPR and Genetic Engineering

Cited by 187

Analysis of the human E2 ubiquitin conjugating enzyme protein interaction network

Markson, G., Kiel, C., Hyde, R., Brown, S., Charalabous, P., Bremm, A., Semple, J., Woodsmith, J., Duley, S., Salehi-Ashtiani, K., et al. (2009) · Genome Research

Ubiquitin and proteasome pathwaysProtein Degradation and Inhibitors

Cited by 157

Spatiotemporal 16p11.2 protein network implicates cortical late mid-fetal brain development and KCTD13-Cul3-RhoA pathway in psychiatric diseases

Lin, G. N., Corominas, R., Lemmens, I., Yang, X., Tavernier, J., Hill, D. E., Vidal, M., Sebat, J., & Iakoucheva, L. M. (2015) · Neuron

Genomic variations and chromosomal abnormalitiesGenetics and Neurodevelopmental Disorders

Cited by 155

Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism

Corominas, R., Yang, X., Lin, G. N., Kang, S., Shen, Y., Ghamsari, L., Broly, M., Rodriguez, M., Tam, S., Wanamaker, S. A., et al. (2014) · Nature Communications

Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

Cited by 140

Dynamic Role of trans Regulation of Gene Expression in Relation to Complex Traits

Yao, C., Joehanes, R., Johnson, A. D., Huan, T., Liu, C., Freedman, J. E., Munson, P. J., Hill, D. E., Vidal, M., & Levy, D. (2017) · The American Journal of Human Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 106

A Zebrafish Genetic Screen Identifies Neuromedin U as a Regulator of Sleep/Wake States

Chiu, C. N., Rihel, J., Lee, D. A., Singh, C., Mosser, E. A., Chen, S., Sapin, V., Pham, U., Engle, J., Niles, B. J., et al. (2016) · Neuron

Sleep and Wakefulness ResearchNeuropeptides and Animal Physiology

Cited by 101

Knocking out multigene redundancies via cycles of sexual assortment and fluorescence selection

Suzuki, Y., Onge, R. P. S., Mani, R., King, O. D., Heilbut, A., Labunskyy, V. M., Chen, W., Pham, L., Zhang, L. V., Tong, A. H. Y., et al. (2011) · Nature Methods

Fungal and yeast genetics researchDrug Transport and Resistance Mechanisms

Cited by 78

Widespread variation in molecular interactions and regulatory properties among transcription factor isoforms

Lambourne, L., Mattioli, K., Santoso, C., Sheynkman, G., Inukai, S., Kaundal, B., Berenson, A., Spirohn-Fitzgerald, K., Bhattacharjee, A., Rothman, E., et al. (2025) · Molecular Cell

Genomics and Chromatin DynamicsGene Regulatory Network Analysis

Cited by 42

The human proteome – a scientific opportunity for transforming diagnostics, therapeutics, and healthcare

Vidal, M., Chan, D. W., Gerstein, M., Mann, M., Omenn, G. S., Tagle, D., Sechi, S., & Participants, W. (2012) · Clinical Proteomics

Advanced Proteomics Techniques and ApplicationsAdvanced Biosensing Techniques and Applications

Cited by 41

Domain-based prediction of the human isoform interactome provides insights into the functional impact of alternative splicing

Ghadie, M. A., Lambourne, L., Vidal, M., & Xia, Y. (2017) · PLOS Computational Biology

Bioinformatics and Genomic NetworksRNA Research and Splicing

Cited by 39

AI-guided pipeline for protein–protein interaction drug discovery identifies a SARS-CoV-2 inhibitor

Trepte, P., Secker, C., Olivet, J., Blavier, J., Kostova, S., Maseko, S. B., Minia, I., Silva Ramos, E., Cassonnet, P., Golusik, S., et al. (2024) · Molecular Systems Biology

Computational Drug Discovery MethodsSARS-CoV-2 and COVID-19 Research

Cited by 35