Results 11 to 20 of about 10,136,889 (397)

Large language models generate functional protein sequences across diverse families

Nature Biotechnology, 2023
A generative deep-learning model designs artificial proteins with desired enzymatic activities. Deep-learning language models have shown promise in various biotechnological applications, including protein design and engineering.
Ali Madani, Ben Krause, E. Greene, Subu Subramanian, Benjamin P. Mohr, J. Holton, J. L. Olmos, Caiming Xiong, Zachary Z. Sun, R. Socher, J. Fraser, N. Naik   +11 more
semanticscholar   +1 more source

Pfam: The protein families database in 2021

Nucleic Acids Res., 2020
The Pfam database is a widely used resource for classifying protein sequences into families and domains. Since Pfam was last described in this journal, over 350 new families have been added in Pfam 33.1 and numerous improvements have been made to ...
Jaina Mistry, S. Chuguransky, Lowri Williams, Matloob Qureshi, Gustavo A. Salazar, E. Sonnhammer, Silvio C. E. Tosatto, L. Paladin, Shriya Raj, Lorna J. Richardson, R. Finn, A. Bateman   +11 more
semanticscholar   +1 more source

RepeatModeler2 for automated genomic discovery of transposable element families

Proceedings of the National Academy of Sciences of the United States of America, 2020
Significance Genome sequences are being produced for more and more eukaryotic species. The bulk of these genomes are composed of parasitic, self-mobilizing transposable elements (TEs) that play important roles in organismal evolution.
Jullien M. Flynn, R. Hubley, Clément Goubert, Jeb Rosen, A. Clark, C. Feschotte, A. Smit   +6 more
semanticscholar   +1 more source

The InterPro protein families and domains database: 20 years on

Nucleic Acids Res., 2020
The InterPro database (https://www.ebi.ac.uk/interpro/) provides an integrative classification of protein sequences into families, and identifies functionally important domains and conserved sites.
Matthias Blum, Hsin-Yu Chang, S. Chuguransky, Tiago Grego, Swaathi Kandasamy, A. Mitchell, Gift Nuka, T. Paysan-Lafosse, Matloob Qureshi, Shriya Raj, Lorna J. Richardson, Gustavo A. Salazar, Lowri Williams, P. Bork, A. Bridge, J. Gough, D. Haft, Ivica Letunic, Aron Marchler-Bauer, H. Mi, D. Natale, M. Necci, C. Orengo, A. Pandurangan, C. Rivoire, Christian J. A. Sigrist, I. Sillitoe, N. Thanki, P. Thomas, Silvio C. E. Tosatto, Cathy H. Wu, A. Bateman, R. Finn   +32 more
semanticscholar   +1 more source

The Pfam protein families database in 2019

Nucleic Acids Res., 2018
The last few years have witnessed significant changes in Pfam (https://pfam.xfam.org). The number of families has grown substantially to a total of 17,929 in release 32.0.
Sara El-Gebali, Jaina Mistry, A. Bateman, S. Eddy, Aurélien Luciani, Simon C. Potter, Matloob Qureshi, Lorna J. Richardson, Gustavo A. Salazar, A. Smart, E. Sonnhammer, L. Hirsh, L. Paladin, D. Piovesan, Silvio C. E. Tosatto, R. Finn   +15 more
semanticscholar   +1 more source

The Pfam protein families database: towards a more sustainable future

Nucleic Acids Res., 2015
In the last two years the Pfam database (http://pfam.xfam.org) has undergone a substantial reorganisation to reduce the effort involved in making a release, thereby permitting more frequent releases. Arguably the most significant of these changes is that
R. Finn, P. Coggill, R. Y. Eberhardt, S. Eddy, Jaina Mistry, A. Mitchell, Simon C. Potter, M. Punta, Matloob Qureshi, A. Sangrador-Vegas, Gustavo A. Salazar, J. Tate, A. Bateman   +12 more
semanticscholar   +1 more source

Power of Linked Administrative Data

International Journal of Population Data Science, 2018
Introduction Linking administrative data provides valuable information about individuals using government services and can be very useful for policy-makers in improving and developing services and policies.
Hesam Izakian, Hitesh Bhatt, Robert Jagodzinski, Leslie Twilley, Xinjie Cui   +4 more
doaj   +1 more source

The Pfam protein families database

Nucleic Acids Res., 2007
Pfam is a widely used database of protein families and domains. This article describes a set of major updates that we have implemented in the latest release (version 24.0).
Robert D. Finn, Jaina Mistry, John G. Tate, Penny C. Coggill, A. Heger, Joanne E. Pollington, O. L. Gavin, Prasad Gunasekaran, Goran Ceric, K. Forslund, Liisa Holm, Erik L. L. Sonnhammer, Sean R. Eddy, Alex Bateman   +13 more
semanticscholar   +1 more source

Using administrative data to examine government service transitions of children, youth and young adults in Alberta, Canada

International Journal of Population Data Science, 2018
Introduction A main goal of policy makers is to understand various transition pathways between services to optimize program design and to achieve successful outcomes, for example, securing stable income or having access to disability supports ...
Navjot Lamba, Ruiting Jia, Hitesh Bhatt
doaj   +1 more source

Data Byte: An Insight on Fetal Alcohol Spectrum Disorder and Educational Achievement

International Journal of Population Data Science, 2018
Introduction Data Bytes are bite-sized pieces of data from the longitudinal project, Experiences of Alberta Children and Youth Over Time, 2005-06 to 2010-11.
Carley Piatt, Navjot Lamba, Ruiting Jia, Christine Werk   +3 more
doaj   +1 more source