Results 71 to 80 of about 30,127,685 (239)

The MPI Bioinformatics Toolkit for protein sequence analysis [PDF]

open access: yesNucleic Acids Research, 2006
The MPI Bioinformatics Toolkit is an interactive web service which offers access to a great variety of public and in-house bioinformatics tools. They are grouped into different sections that support sequence searches, multiple alignment, secondary and tertiary structure prediction and classification.
Andreas Biegert   +4 more
openaire   +6 more sources

Prediction of Protein Function Using Statistically Significant Sub-Structure Discovery [PDF]

open access: yes, 2007
Proteins perform a vast number of functional roles. The number of protein structures available for analysis continues to grow and, with the development of methods to predict protein structure directly from genetic sequence without imaging technology, the
Lucas, Craig
core   +5 more sources

The Computer‐Assisted Sequence Annotation (CASA) workflow for enzyme discovery

open access: yesApplications in Plant Sciences
Premise With the advent of inexpensive nucleic acid sequencing and automated annotation at the level of basic functionality, the central problem of enzyme discovery is no longer finding active sequences, it is determining which ones are suitable for ...
Gemma R. Takahashi   +3 more
doaj   +1 more source

Combining handcrafted and learned features using deep learning to improve protein-protein interaction prediction performance

open access: yesJournal of Information and Telecommunication
Understanding protein-protein interactions (PPIs) is essential because knowledge regarding PPIs helps in determining the biochemical functions of organisms. Advances made in machine learning techniques, for example, DeepFE-PPI, GcForest-PPI, and DeepPPI,
Tran Hoai Nhan   +2 more
doaj   +1 more source

The EVcouplings Python framework for coevolutionary sequence analysis

open access: yesbioRxiv, 2018
Summary Coevolutionary sequence analysis has become a commonly used technique for de novo prediction of the structure and function of proteins, RNA, and protein complexes.
Thomas A. Hopf   +15 more
semanticscholar   +1 more source

Integrative visual analysis of protein sequence mutations [PDF]

open access: yesBMC Proceedings, 2014
An important aspect of studying the relationship between protein sequence, structure and function is the molecular characterization of the effect of protein mutations. To understand the functional impact of amino acid changes, the multiple biological properties of protein residues have to be considered together.Here, we present a novel visual approach ...
Doncheva, Nadezhda   +5 more
openaire   +4 more sources

Alignment of helical membrane protein sequences using AlignMe [PDF]

open access: yes, 2013
Few sequence alignment methods have been designed specifically for integral membrane proteins, even though these important proteins have distinct evolutionary and structural properties that might affect their alignments.
René Staritzbichler   +15 more
core   +2 more sources

Protein-Ligand Interactions: Docking, Design and Conformation Change [PDF]

open access: yes, 2003
Virtual ligand screening has proven to be a successful strategy in drug design. An in house-developed procedure (HierDock), a coarse grain docking method followed by a fine grain search procedure, was used to determine the binding site for sugars in the
Datta, Deepshikha
core   +1 more source

Sequence analysis of the small (s) RNA segment of viruses in the genus Orthobunyavirus [PDF]

open access: yes, 2008
Viruses in the genus Orthobunyavirus (family Bunyaviridae) are classified serologically into 18 serogroups. The viruses have a tripartite genome of negative sense RNA composed of large (L), medium (M) and small (S) segments.
Mohamed, Maizan
core   +2 more sources

Comparison study on k-word statistical measures for protein: From sequence to 'sequence space'

open access: yesBMC Bioinformatics, 2008
Background Many proposed statistical measures can efficiently compare protein sequence to further infer protein structure, function and evolutionary information. They share the same idea of using k-word frequencies of protein sequences.
Wang Tianming, Dai Qi
doaj   +1 more source

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