Aalt D. J. van Dijk

ORCID: 0000-0002-8872-5123
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About
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Research Areas
  • Plant Molecular Biology Research
  • Plant Reproductive Biology
  • Protein Structure and Dynamics
  • Genomics and Phylogenetic Studies
  • Bioinformatics and Genomic Networks
  • Photosynthetic Processes and Mechanisms
  • Plant Gene Expression Analysis
  • Plant biochemistry and biosynthesis
  • Enzyme Structure and Function
  • Genetic Mapping and Diversity in Plants and Animals
  • Chromosomal and Genetic Variations
  • RNA and protein synthesis mechanisms
  • Microbial Metabolic Engineering and Bioproduction
  • Microbial Natural Products and Biosynthesis
  • Machine Learning in Bioinformatics
  • Plant and animal studies
  • Computational Drug Discovery Methods
  • Plant Virus Research Studies
  • Genetic and phenotypic traits in livestock
  • Plant Parasitism and Resistance
  • Plant nutrient uptake and metabolism
  • Light effects on plants
  • RNA Research and Splicing
  • Plant Physiology and Cultivation Studies
  • Biochemical and biochemical processes

Wageningen University & Research
2016-2025

University of Amsterdam
2024-2025

Research International (United States)
2010-2023

Plant (United States)
2012-2023

Graduate School Experimental Plant Sciences
2018-2020

Institute of Bioinformatics
2020

Centre for BioSystems Genomics
2009-2017

Centre for Medical Systems Biology
2012-2015

Bioscience (China)
2015

Max Planck Institute for Molecular Genetics
2013

Predrag Radivojac Wyatt T. Clark Tal Oron Alexandra M. Schnoes Tobias Wittkop and 95 more Artem Sokolov Kiley Graim Christopher S. Funk Karin Verspoor Asa Ben‐Hur Gaurav Pandey Jeffrey M. Yunes Ameet Talwalkar Susanna Repo Michael L Souza Damiano Piovesan Rita Casadio Zheng Wang Jianlin Cheng Hai Fang Julian Gough Patrik Koskinen Petri Törönen Jussi Nokso-Koivisto Liisa Holm Domenico Cozzetto Daniel Buchan Kevin Bryson David T. Jones Bhakti Limaye Harshal Inamdar Avik Datta Sunitha K Manjari Rajendra Joshi Meghana Chitale Daisuke Kihara Andreas Martin Lisewski Serkan Erdin Eric Venner Olivier Lichtarge Robert Rentzsch Haixuan Yang Alfonso E. Romero Prajwal Bhat Alberto Paccanaro Tobias Hamp Rebecca Kaßner Stefan Seemayer Esmeralda Vicedo Christian Schaefer Dominik Achten Florian Auer Ariane C. Boehm Tatjana Braun Maximilian Hecht B. Mark Heron Peter Hönigschmid Thomas A. Hopf Stefanie Kaufmann Michael Kiening Denis Krompaß Cedric Landerer Yannick Mahlich Manfred Roos Jari Björne Tapio Salakoski Andrew Wong Hagit Shatkay Fanny Gatzmann I. Sommer Mark N. Wass Michael J.E. Sternberg Nives Škunca Fran Supek Matko Bošnjak Panče Panov Sašo Džeroski Tomislav Šmuc Yiannis Kourmpetis Aalt D. J. van Dijk Cajo J. F. ter Braak Yuanpeng Zhou Qingtian Gong Xinran Dong Weidong Tian Marco Falda Paolo Fontana Enrico Lavezzo Barbara Di Camillo Stefano Toppo Liang Lan Nemanja Djuric Yuhong Guo Slobodan Vučetić Amos Bairoch Michal Linial Patricia C. Babbitt Steven E. Brenner Christine Orengo Burkhard Rost

Automated annotation of protein function is challenging. As the number sequenced genomes rapidly grows, overwhelming majority products can only be annotated computationally. If computational predictions are to relied upon, it crucial that accuracy these methods high. Here we report results from first large-scale community-based critical assessment (CAFA) experiment. Fifty-four representing state art for prediction were evaluated on a target set 866 proteins 11 organisms. Two findings stand...

10.1038/nmeth.2340 article EN cc-by-nc-sa Nature Methods 2013-01-27

Abstract Here we present version 2.0 of HADDOCK, which incorporates considerable improvements and new features. HADDOCK is now able to model not only protein–protein complexes but also other kinds biomolecular multi‐component ( N > 2) systems. In the absence any experimental and/or predicted information drive docking, offers two additional ab initio docking modes based on either random patch definition or center‐of‐mass restraints. The protocol has been considerably improved, supporting...

10.1002/prot.21723 article EN Proteins Structure Function and Bioinformatics 2007-09-05

Abstract TEOSINTE BRANCHED1/CYCLOIDEA/PROLIFERATING CELL FACTOR1 (TCP) transcription factors control developmental processes in plants. The 24 TCP encoded the Arabidopsis (Arabidopsis thaliana) genome are divided into two classes, class I and II TCPs, which proposed to act antagonistically. We performed a detailed phenotypic analysis of tcp20 mutant, showing an increase leaf pavement cell sizes 10-d-old seedlings. Subsequently, glucocorticoid receptor induction assay was performed, aiming...

10.1104/pp.112.200303 article EN PLANT PHYSIOLOGY 2012-06-20

Plant MADS box proteins play important roles in a plethora of developmental processes. In order to regulate specific sets target genes, dimerize and are thought assemble into multimeric complexes. this study large-scale yeast three-hybrid screen is utilized provide insight the higher-order complex formation capacity Arabidopsis family. SEPALLATA3 (SEP3) has been shown mediate and, therefore, special attention paid factor study.In total, 106 complexes were identified; more than half these at...

10.1186/gb-2009-10-2-r24 article EN cc-by Genome biology 2009-02-25

Maize (Zea mays) is a major staple crop in Africa, where its yield and the livelihood of millions are compromised by parasitic witchweed Striga. Germination Striga induced strigolactones exuded from maize roots into rhizosphere. In germplasm collection, we identified two strigolactones, zealactol zealactonoic acid, which stimulate less germination than strigolactone, zealactone. We then showed that single cytochrome P450, ZmCYP706C37, catalyzes series oxidative steps maize-strigolactone...

10.1126/science.abq4775 article EN Science 2023-01-05

Abstract The transition from vegetative to reproductive development is one of the most important phase changes in plant life cycle. This step controlled by various environmental signals that are integrated at molecular level so-called floral integrators. One such integrator Arabidopsis (Arabidopsis thaliana) MADS domain transcription factor SUPPRESSOR OF OVEREXPRESSION CONSTANS1 (SOC1). Despite extensive genetic studies, little known about transcriptional control SOC1, and we just starting...

10.1104/pp.112.202614 article EN PLANT PHYSIOLOGY 2012-07-12

Analyses of the functions TEOSINTE-LIKE1, CYCLOIDEA, and PROLIFERATING CELL FACTOR1 (TCP) transcription factors have been hampered by functional redundancy between its individual members. In general, putative functionally redundant genes are predicted based on sequence similarity confirmed genetic analysis. TCP family, however, identification is impeded relatively low overall similarity. a search for pairs that control Arabidopsis leaf development, this work performed an integrative...

10.1093/jxb/ert337 article EN cc-by Journal of Experimental Botany 2013-10-15

Recent methodological developments in plant phenotyping, as well the growing importance of its applications science and breeding, are resulting a fast accumulation multidimensional data. There is great potential for expediting both discovery application if these data made publicly available analysis. However, collection storage phenotypic observations not yet sufficiently governed by standards that would ensure interoperability among providers precisely link specific phenotypes associated...

10.1093/jxb/erv271 article EN Journal of Experimental Botany 2015-06-04

Summary N ootkatone is one of the major terpenes in heartwood ootka cypress C allitropsis nootkatensis . It an oxidized sesquiterpene, which has been postulated to be derived from valencene. Both valencene and nootkatone are used for flavouring citrus beverages considered among most valuable at commercial scale. Functional evaluation putative terpene synthase genes sourced by large‐scale EST sequencing wood revealed a gene ( n VS ) expression different tissues tree correlates well with...

10.1111/pbi.12124 article EN other-oa Plant Biotechnology Journal 2013-09-25

Small Auxin-Upregulated RNA (SAUR) genes encode growth regulators that induce cell elongation. Arabidopsis contains more than 70 SAUR genes, of which the growth-promoting function has been unveiled in seedlings, while their role other tissues remained largely unknown. Here, we focus on regulatory regions to predict processes they play a role, and understand dynamics plant growth. In this study, characterized detail entire SAUR10-clade: SAUR8, SAUR9, SAUR10, SAUR12, SAUR16, SAUR50, SAUR51...

10.1186/s12870-017-1210-4 article EN cc-by BMC Plant Biology 2017-12-01

Abstract Motivation: Interfacial water, which plays an important role in mediating biomolecular interactions, has been neglected the modelling of complexes. Methods: We present a solvated docking approach that explicitly accounts for presence water protein–protein Our protocol is based on concept first encounter complex layer in-between molecules. It mimics pathway from this initial towards final assembly most waters have expelled interface. Docking performed biomolecules and are removed...

10.1093/bioinformatics/btl395 article EN Bioinformatics 2006-08-09

Abstract Protein–protein interactions play a key role in biological processes. Identifying the interacting residues is first step toward understanding these at structural level. In this study, interface prediction program WHISCY presented. It combines surface conservation and information to predict protein–protein interfaces. The accuracy of predictions more than three times higher random prediction. These have been combined with another program, ProMate [Neuvirth et al. J Mol Biol...

10.1002/prot.20842 article EN Proteins Structure Function and Bioinformatics 2006-01-31

Inference of protein functions is one the most important aims modern biology. To fully exploit large volumes genomic data typically produced in modern-day experiments, automated computational methods for function prediction are urgently needed. Established use sequence or structure similarity to infer but those types do not suffice determine biological context which proteins act. Current high-throughput experiments produce amounts on interactions between proteins. Such can be used...

10.1371/journal.pone.0009293 article EN cc-by PLoS ONE 2010-02-23

Strigolactones (SLs) are rhizosphere signalling molecules and phytohormones. The biosynthetic pathway of SLs in tomato has been partially elucidated, but the structural diversity predicts that additional steps required. Here, root RNA-seq data co-expression analysis were used for SL gene discovery. This strategy resulted a candidate list containing several cytochrome P450s. Heterologous expression Nicotiana benthamiana yeast showed one these, CYP712G1, can catalyse double oxidation...

10.1111/nph.18272 article EN New Phytologist 2022-05-25

Several genome-wide studies demonstrated that alternative splicing (AS) significantly increases the transcriptome complexity in plants. However, impact of AS on functional diversity proteins is difficult to assess using approaches. The availability detailed sequence annotations for specific genes and gene families allows a more assessment potential effect their function. One example plant MADS-domain transcription factor family, members which interact form protein complexes function...

10.1371/journal.pone.0030524 article EN cc-by PLoS ONE 2012-01-25

Various environmental signals integrate into a network of floral regulatory genes leading to the final decision on when flower. Although wealth qualitative knowledge is available how flowering time regulate each other, only few studies incorporated this predictive models. Such models are invaluable as they enable investigate various types inputs combined give quantitative readout. To effect gene expression disturbances time, we developed dynamic model for regulation in Arabidopsis thaliana....

10.1371/journal.pone.0116973 article EN cc-by PLoS ONE 2015-02-26

Floral induction in Tulipa gesneriana and Lilium longiflorum is triggered by contrasting temperature conditions, high low temperature, respectively. In Arabidopsis, the floral integrator FLOWERING LOCUS T (FT), a member of PEBP (phosphatidyl ethanolamine-binding protein) gene family, key player flowering time control. this study, one was identified characterized lily (LlFT) three genes were isolated from tulip (TgFT1, TgFT2 TgFT3). Overexpression these Arabidopsis thaliana resulted an early...

10.1093/pcp/pcx164 article EN Plant and Cell Physiology 2017-10-25
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