Mark N. Wass

发表

The automated function prediction SIG looks back at 2013 and prepares for 2014

Michal Linial, Predrag Radivojac, Sean D. Mooney, 2014, Bioinform..

Ten Simple Rules for a Community Computational Challenge

Predrag Radivojac, Sean D. Mooney, Iddo Friedberg, 2015, PLoS Comput. Biol..

ConFunc - functional annotation in the twilight zone

Michael J. E. Sternberg, Mark N. Wass, M. Sternberg, 2008, Bioinform..

CombFunc: predicting protein function using heterogeneous data sources

Michael J. E. Sternberg, Mark N. Wass, Geraint Barton, 2012, Nucleic Acids Res..

VarMod: modelling the functional effects of non-synonymous variants

Mark N. Wass, Morena Pappalardo, M. Wass, 2014, Nucleic Acids Res..

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Tapio Salakoski, Feng Zhang, Paolo Fontana, 2019, Genome Biology.

Changes associated with Ebola virus adaptation to novel species

Martin Michaelis, Mark N. Wass, Morena Pappalardo, 2017, Bioinform..

3DLigandSite: predicting ligand-binding sites using similar structures

Michael J. E. Sternberg, Lawrence A. Kelley, Mark N. Wass, 2010, Nucleic Acids Res..

SARS-CoV-2 and SARS-CoV differ in their cell tropism and drug sensitivity profiles

Denisa Bojkova, Jindrich Cinatl, Martin Michaelis, 2020, bioRxiv.

PDBe-KB: a community-driven resource for structural and functional annotations

Alfonso Valencia, Karel Berka, Jaroslav Koča, 2019, Nucleic Acids Res..

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Jari Björne, Tapio Salakoski, Giorgio Valentini, 2019, Genome Biology.

The South Asian Genome

Mark I. McCarthy, Richard D. Pearson, Jun Wang, 2014, PloS one.

The Phyre2 web portal for protein modeling, prediction and analysis

Michael J E Sternberg, Stefans Mezulis, Lawrence A Kelley, 2015, Nature Protocols.

A large-scale evaluation of computational protein function prediction

Daniel W. A. Buchan, Thomas A. Hopf, Mark N. Wass, 2013, Nature Methods.

Challenges for the prediction of macromolecular interactions.

Mark N. Wass, M. Sternberg, M. Wass, 2011, Current Opinion in Structural Biology.

Towards the prediction of protein interaction partners using physical docking

Alfonso Valencia, Florencio Pazos, Carles Pons, 2011, Molecular systems biology.

Prediction of ligand binding sites using homologous structures and conservation at CASP8

Michael J E Sternberg, Mark N. Wass, Mark N Wass, 2009, Proteins.

Cardiac contraction velocity has evolved to match heart rate with body size through variation in β-cardiac myosin sequence

Mark N. Wass, Daniel P. Mulvihill, L. Leinwand, 2019, bioRxiv.

Adaptation of mammalian myosin II sequences to body mass

Mark N. Wass, M. Wass, M. Geeves, 2016, bioRxiv.

Title: Adaptation of mammalian myosin II sequences to body mass

Mark N. Wass, M. Wass, C. Henson, 2016 .

Differentially conserved amino acid positions may reflect differences in SARS-CoV-2 and SARS-CoV behaviour

Mark N. Wass, M. Wass, S. Ciesek, 2021, Bioinform..

Genetic loci influencing kidney function and chronic kidney disease

Mark N. Wass, Graham M Lord, P. Elliott, 2010, Nature Genetics.

Integrated analysis of cervical squamous cell carcinoma cohorts from three continents reveals conserved subtypes of prognostic significance

Mark N. Wass, Ian G. Reddin, Nerissa K. Kirkwood, 2021, Nature Communications.

Identification of novel antiviral drug candidates using an optimized SARS-CoV-2 phenotypic screening platform

Mark N. Wass, M. Wass, S. Ciesek, 2023, iScience.

Proteomic analysis of the Plasmodium male gamete reveals the key role for glycolysis in flagellar motility

Mark N. Wass, M. Sternberg, J. Yates, 2014, Malaria Journal.

Testing of the Survivin Suppressant YM155 in a Large Panel of Drug-Resistant Neuroblastoma Cell Lines

Mark N. Wass, F. Westermann, M. Wass, 2020, bioRxiv.

Miyabeacin: A new cyclodimer presents a potential role for willow in cancer therapy

Mark N. Wass, M. Wass, M. Michaelis, 2020, Scientific Reports.

Understanding and tackling the reproducibility crisis - Why we need to study scientists' trust in data.

Mark N. Wass, Michael Calnan, Simon Kirchin, 2023, Pharmacological research.

Large inherent variability in data derived from highly standardised cell culture experiments.

Mark N. Wass, Ian G. Reddin, M. Wass, 2023, Pharmacological research.

Data variability in standardised cell culture experiments

Mark N. Wass, Ian G. Reddin, M. Wass, 2021, bioRxiv.

Understanding of researcher behavior is required to improve data reliability

Mark N Wass, Larry Ray, Martin Michaelis, 2019, GigaScience.

Aprotinin Inhibits SARS-CoV-2 Replication

Mark N. Wass, M. Wass, S. Ciesek, 2020, Cells.

3DLigandSite: structure-based prediction of protein–ligand binding sites

Mark N. Wass, M. Sternberg, M. Wass, 2022, Nucleic Acids Res..

Drug-adapted cancer cell lines as preclinical models of acquired resistance

Mark N. Wass, M. Wass, M. Michaelis, 2019, Cancer drug resistance.

Mark N. Wass, M. Wass, S. Ciesek, 2020, Diagnostics.

The Aquila Digital Community The Aquila Digital Community

Silvio C. E. Tosatto, Karin M. Verspoor, David A. Lee, 2022 .

Genetic variation in SCN10A influences cardiac conduction

Mark N. Wass, P. Elliott, M. Sternberg, 2010, Nature Genetics.

Genome-wide association study identifies variants in TMPRSS6 associated with hemoglobin levels

Gonçalo Abecasis, Michael J E Sternberg, Yun Li, 2009, Nature Genetics.