miRBase: tools for microRNA genomics JS Griffiths, HK Saini, DS Van, AJ Enright Nucleic Acids Res 36, 154-158, 2008 | 5467* | 2008 |
Genomic analysis of human microRNA transcripts HK Saini, S Griffiths-Jones, AJ Enright Proceedings of the National Academy of Sciences 104 (45), 17719-17724, 2007 | 729 | 2007 |
Extracellular vesicles from neural stem cells transfer IFN-γ via Ifngr1 to activate Stat1 signaling in target cells C Cossetti, N Iraci, TR Mercer, T Leonardi, E Alpi, D Drago, ... Molecular cell 56 (2), 193-204, 2014 | 334 | 2014 |
Malignant germ cell tumors display common microRNA profiles resulting in global changes in expression of messenger RNA targets RD Palmer, MJ Murray, HK Saini, S van Dongen, C Abreu-Goodger, ... Cancer research 70 (7), 2911-2923, 2010 | 290 | 2010 |
Computational prediction of protein–protein interactions L Skrabanek, HK Saini, GD Bader, AJ Enright Molecular biotechnology 38, 1-17, 2008 | 279 | 2008 |
PEPstr: a de novo method for tertiary structure prediction of small bioactive peptides H Kaur, A Garg, GPS Raghava Protein and Peptide Letters 14 (7), 626-631, 2007 | 234 | 2007 |
Multiple epigenetic mechanisms and the piRNA pathway enforce LINE1 silencing during adult spermatogenesis M Di Giacomo, S Comazzetto, H Saini, S De Fazio, C Carrieri, M Morgan, ... Molecular cell 50 (4), 601-608, 2013 | 215 | 2013 |
Annotation of mammalian primary microRNAs HK Saini, AJ Enright, S Griffiths-Jones BMC genomics 9, 1-19, 2008 | 211 | 2008 |
Integrated analysis of microRNA and mRNA expression and association with HIF binding reveals the complexity of microRNA expression regulation under hypoxia C Camps, HK Saini, DR Mole, H Choudhry, M Reczko, ... Molecular cancer 13, 1-21, 2014 | 183 | 2014 |
Prediction of β‐turns in proteins from multiple alignment using neural network H Kaur, GPS Raghava Protein science 12 (3), 627-634, 2003 | 166 | 2003 |
Prediction of transmembrane regions of β‐barrel proteins using ANN‐and SVM‐based methods NK Natt, H Kaur, GPS Raghava PROTEINS: Structure, Function, and Bioinformatics 56 (1), 11-18, 2004 | 142 | 2004 |
A neural network method for prediction of β-turn types in proteins using evolutionary information H Kaur, GPS Raghava Bioinformatics 20 (16), 2751-2758, 2004 | 135 | 2004 |
Extracellular vesicles are independent metabolic units with asparaginase activity N Iraci, E Gaude, T Leonardi, ASH Costa, C Cossetti, L Peruzzotti-Jametti, ... Nature chemical biology 13 (9), 951-955, 2017 | 129 | 2017 |
Detection of secondary binding sites in proteins using fragment screening RF Ludlow, ML Verdonk, HK Saini, IJ Tickle, H Jhoti Proceedings of the National Academy of Sciences 112 (52), 15910-15915, 2015 | 120 | 2015 |
Real value prediction of solvent accessibility in proteins using multiple sequence alignment and secondary structure A Garg, H Kaur, GPS Raghava Proteins: Structure, Function, and Bioinformatics 61 (2), 318-324, 2005 | 111 | 2005 |
MiR-221 influences effector functions and actin cytoskeleton in mast cells RJ Mayoral, L Deho, N Rusca, N Bartonicek, HK Saini, AJ Enright, ... PloS one 6 (10), e26133, 2011 | 107 | 2011 |
Functional evidence that Drosha overexpression in cervical squamous cell carcinoma affects cell phenotype and microRNA profiles B Muralidhar, D Winder, M Murray, R Palmer, N Barbosa‐Morais, H Saini, ... The Journal of pathology 224 (4), 496-507, 2011 | 101 | 2011 |
A neural‐network based method for prediction of γ‐turns in proteins from multiple sequence alignment H Kaur, GPS Raghava Protein science 12 (5), 923-929, 2003 | 89 | 2003 |
LIN28 Expression in Malignant Germ Cell Tumors Downregulates let-7 and Increases Oncogene Levels MJ Murray, HK Saini, CA Siegler, JE Hanning, EM Barker, S van Dongen, ... Cancer research 73 (15), 4872-4884, 2013 | 85 | 2013 |
The two most common histological subtypes of malignant germ cell tumour are distinguished by global microRNA profiles, associated with differential transcription factor expression MJ Murray, HK Saini, S van Dongen, RD Palmer, B Muralidhar, MR Pett, ... Molecular cancer 9, 1-14, 2010 | 76 | 2010 |