A guide to machine learning for biologists
The expanding scale and inherent complexity of biological data have encouraged a growing
use of machine learning in biology to build informative and predictive models of the …
use of machine learning in biology to build informative and predictive models of the …
Accurate prediction of protein structures and interactions using a three-track neural network
DeepMind presented notably accurate predictions at the recent 14th Critical Assessment of
Structure Prediction (CASP14) conference. We explored network architectures that …
Structure Prediction (CASP14) conference. We explored network architectures that …
Novel machine learning approaches revolutionize protein knowledge
Breakthrough methods in machine learning (ML), protein structure prediction, and novel
ultrafast structural aligners are revolutionizing structural biology. Obtaining accurate models …
ultrafast structural aligners are revolutionizing structural biology. Obtaining accurate models …
Identification of mobile genetic elements with geNomad
Identifying and characterizing mobile genetic elements in sequencing data is essential for
understanding their diversity, ecology, biotechnological applications and impact on public …
understanding their diversity, ecology, biotechnological applications and impact on public …
RCSB Protein Data Bank (RCSB. org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from …
Abstract The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB
PDB), founding member of the Worldwide Protein Data Bank (wwPDB), is the US data center …
PDB), founding member of the Worldwide Protein Data Bank (wwPDB), is the US data center …
ProtGPT2 is a deep unsupervised language model for protein design
Protein design aims to build novel proteins customized for specific purposes, thereby
holding the potential to tackle many environmental and biomedical problems. Recent …
holding the potential to tackle many environmental and biomedical problems. Recent …
The Pfam protein families database in 2019
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. New …
number of families has grown substantially to a total of 17,929 in release 32.0. New …
Protein sequence analysis using the MPI bioinformatics toolkit
Abstract The MPI Bioinformatics Toolkit (https://toolkit. tuebingen. mpg. de) provides
interactive access to a wide range of the best‐performing bioinformatics tools and …
interactive access to a wide range of the best‐performing bioinformatics tools and …
A completely reimplemented MPI bioinformatics toolkit with a new HHpred server at its core
L Zimmermann, A Stephens, SZ Nam, D Rau… - Journal of molecular …, 2018 - Elsevier
Abstract The MPI Bioinformatics Toolkit (https://toolkit. tuebingen. mpg. de) is a free, one-stop
web service for protein bioinformatic analysis. It currently offers 34 interconnected external …
web service for protein bioinformatic analysis. It currently offers 34 interconnected external …
Clustering predicted structures at the scale of the known protein universe
Proteins are key to all cellular processes and their structure is important in understanding
their function and evolution. Sequence-based predictions of protein structures have …
their function and evolution. Sequence-based predictions of protein structures have …