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Andrew M. Waterhouse
Researcher at University of Dundee
Publications - 6
Citations - 7990
Andrew M. Waterhouse is an academic researcher from University of Dundee. The author has contributed to research in topics: Biology & Computer science. The author has an hindex of 3, co-authored 3 publications receiving 6473 citations.
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Journal ArticleDOI
Jalview Version 2--a multiple sequence alignment editor and analysis workbench.
TL;DR: Jalview 2 is a system for interactive WYSIWYG editing, analysis and annotation of multiple sequence alignments that employs web services for sequence alignment, secondary structure prediction and the retrieval of alignments, sequences, annotation and structures from public databases and any DAS 1.53 compliant sequence or annotation server.
Journal ArticleDOI
MACSIMS: multiple alignment of complete sequences information management system.
Julie D. Thompson,Arnaud Muller,Andrew M. Waterhouse,James B. Procter,Geoffrey J. Barton,Frédéric Plewniak,Olivier Poch +6 more
TL;DR: MACSIMS is a new information management system that incorporates detailed analyses of protein families at the structural, functional and evolutionary levels and provides a unique environment that facilitates knowledge extraction and the presentation of the most pertinent information to the biologist.
Journal ArticleDOI
Jalview: Visualization and Analysis of Molecular Sequences, Alignments, and Structures
TL;DR: Jalview is a Java application for editing and viewing sequence alignments, originally developed by Michele Clamp in 1997, that now has over 15,000 hits on Google, indicating wide usage as both a stand alone application, and applet based viewer for alignments derived from SRS, PFAM, and Interpro.
Posted ContentDOI
3D-Beacons: decreasing the gap between protein sequences and structures through a federated network of protein structure data resources
Mihaly Varadi,S. Nair,Ian Sillitoe,Gerardo Tauriello,Stephen Anyango,Stefan Bienert,Clemente R. Borges,Mandar Deshpande,Tim Green,Demis Hassabis,András Hatos,Tamás Hegedus,Maarten L. Hekkelman,Robbie P. Joosten,John M. Jumper,Agata Laydon,Dmitry S. Molodenskiy,Damiano Piovesan,Edoardo Salladini,Steven L. Salzberg,Markus J. Sommer,Martin Steinegger,Erzsébet Suhajda,Dmitri I. Svergun,Luiggi Tenorio-Ku,Silvio C. E. Tosatto,Kathryn Tunyasuvunakool,Andrew M. Waterhouse,Augustin Žídek,Torsten Schwede,Christine A. Orengo,Sameer Velankar +31 more
TL;DR: The 3D-Beacons Network allows researchers to collate coordinate files and metadata for experimentally determined and theoretical protein models from state-of-the-art and specialist model providers and also from the Protein Data Bank.
Posted ContentDOI
What is hidden in the darkness? Deep-learning assisted large-scale protein family curation uncovers novel protein families and folds
Janani Durairaj,Andrew M. Waterhouse,Toomas Mets,Tetiana Brodiazhenko,Minhal Abdullah,Gabriel Studer,Mehmet Akdel,Antonina Andreeva,Alex Bateman,Tanel Tenson,Vasili Hauryliuk,Torsten Schwede,Joana Pereira +12 more
TL;DR: This article quantified how much of the natural protein universe was structurally illuminated by AlphaFold2 and modelled this diversity as an interactive sequence similarity network that can be navigated at https://uniprot3d.org/atlas/AFDB90v4.