Prediction of post‐translational glycosylation and phosphorylation of proteins from the amino acid sequence

N Blom, T Sicheritz‐Pontén, R Gupta… - …, 2004 - Wiley Online Library
Post‐translational modifications (PTMs) occur on almost all proteins analyzed to date. The
function of a modified protein is often strongly affected by these modifications and therefore …

Prediction of protein function from protein sequence and structure

JC Whisstock, AM Lesk - Quarterly reviews of biophysics, 2003 - cambridge.org
1. Introduction 3082. Plan of this article 3123. Natural mechanisms of development of novel
protein functions 3133.1 Divergence 3133.2 Recruitment 3163.3 'Mixing and matching'of …

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

N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh… - Genome biology, 2019 - Springer
Abstract Background The Critical Assessment of Functional Annotation (CAFA) is an
ongoing, global, community-driven effort to evaluate and improve the computational …

[HTML][HTML] A large-scale evaluation of computational protein function prediction

P Radivojac, WT Clark, TR Oron, AM Schnoes… - Nature …, 2013 - nature.com
Automated annotation of protein function is challenging. As the number of sequenced
genomes rapidly grows, the overwhelming majority of protein products can only be …

[图书][B] Deep learning in science

P Baldi - 2021 - books.google.com
This is the first rigorous, self-contained treatment of the theory of deep learning. Starting with
the foundations of the theory and building it up, this is essential reading for any scientists …

Contrastive learning on protein embeddings enlightens midnight zone

M Heinzinger, M Littmann, I Sillitoe… - NAR genomics and …, 2022 - academic.oup.com
Experimental structures are leveraged through multiple sequence alignments, or more
generally through homology-based inference (HBI), facilitating the transfer of information …

Feature-based prediction of non-classical and leaderless protein secretion

JD Bendtsen, LJ Jensen, N Blom… - Protein Engineering …, 2004 - academic.oup.com
We present a sequence-based method, SecretomeP, for the prediction of mammalian
secretory proteins targeted to the non-classical secretory pathway, ie proteins without an N …

[HTML][HTML] Protein disorder prediction: implications for structural proteomics

R Linding, LJ Jensen, F Diella, P Bork, TJ Gibson… - Structure, 2003 - cell.com
A great challenge in the proteomics and structural genomics era is to predict protein
structure and function, including identification of those proteins that are partially or wholly …

Predicting subcellular localization of proteins for Gram‐negative bacteria by support vector machines based on n‐peptide compositions

CS Yu, CJ Lin, JK Hwang - Protein science, 2004 - Wiley Online Library
Gram‐negative bacteria have five major subcellular localization sites: the cytoplasm, the
periplasm, the inner membrane, the outer membrane, and the extracellular space. The …

Distinguishing enzyme structures from non-enzymes without alignments

PD Dobson, AJ Doig - Journal of molecular biology, 2003 - Elsevier
The ability to predict protein function from structure is becoming increasingly important as
the number of structures resolved is growing more rapidly than our capacity to study …