Harpreet Saini
Harpreet Saini
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miRBase: tools for microRNA genomics
JS Griffiths, HK Saini, DS Van, AJ Enright
Nucleic Acids Res 36, 154-158, 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
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
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
Computational prediction of protein–protein interactions
L Skrabanek, HK Saini, GD Bader, AJ Enright
Molecular biotechnology 38 (1), 1-17, 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
Annotation of mammalian primary microRNAs
HK Saini, AJ Enright, S Griffiths-Jones
BMC genomics 9 (1), 1-19, 2008
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
Prediction of β‐turns in proteins from multiple alignment using neural network
H Kaur, GPS Raghava
Protein science 12 (3), 627-634, 2003
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), 1-21, 2014
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
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
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
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
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
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
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
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
LIN28 Expression in Malignant Germ Cell Tumors Downregulates let-7 and Increases Oncogene LevelsLIN28/let-7 Deregulation in Malignant Germ Cell Tumors
MJ Murray, HK Saini, CA Siegler, JE Hanning, EM Barker, S van Dongen, ...
Cancer research 73 (15), 4872-4884, 2013
Locating probable genes using Fourier transform approach
B Issac, H Singh, H Kaur, GPS Raghava
Bioinformatics 18 (1), 196-197, 2002
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