en.wikipedia.org website review
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SEO Keyword summary for en.wikipedia.org/wiki/protein_structure_prediction
Keywords are extracted from the main content of your website and are the primary indicator of the words this page could rank for. By frequenty count we expect your focus keyword to be protein
Focus keyword
Short and long tail
Short Tail Keywords protein structure prediction |
long Tail Keywords (2 words) structure prediction protein structure secondary structure amino acid amino acids |
long Tail Keywords (3 words) protein structure prediction secondary structure prediction academy of sciences states of america multiple sequence alignment prediction of protein structure prediction methods |
en.wikipedia.org On-Page SEO Scan
Descriptive Elements
The <head> element of a en.wikipedia.org/wiki/protein_structure_prediction page is used to inform the browser and visitors of the page about the general meta information. The head section of the page is where we place the page title, the definition of the HTML version used, the language of in which the page is written. In the head section we can also include JavaScript and CSS (markup) files for the page.
Page title
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protein structure prediction wikipedia
Meta description
Meta description legth
Meta description SEO
No meta relevance in the description detected !
Content SEO
Number of Words
Spam detected?
Headings
Heading distribution
Heading normalisation
Heading SEO impact
Emphasis (bold and italic)
Emphasis SEO impact
Images
Number of images
Images dimensions
Image alt descriptions
Images SEO impact
wikipedia free encyclopedia displaystyle alpha beta phi psi performance alphafold casp dataset protein domains relative top entries out group numbers correspond assigned entrants data are median confidence interval estimated from bootstrap samples our prediction target pdb blue compared true experimental structure green four residues terminus crystal bfactor outliers not depicted example wellpredicted zincbinding site has accurate side chains even though does explicitly predict zinc ion residue single chainwas predicted correct domain packing was made after using without intervention model architecture arrows show information flow among various components described paper array shapes shown parentheses number sequences nseq main text nres channels icon wikimedia foundation powered mediawiki
Mobile SEO en.wikipedia.org/wiki/protein_structure_prediction
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Marketing / lead generation for en.wikipedia.org/wiki/protein_structure_prediction
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Conversion form
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Analytics
Online presence
SERP Preview
SERP Title
SERP Link
SERP Description
Domain Level SEO
Domain name
16 characters long
Domain name SEO Impact
Path name
prediction found in path !
protein found in path !
structure found in path !
Structured data
Publisher Markup
Other Structured data
Website configuration
Correct processing of non-existing pages?
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Navigation and internal links
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statistics
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w httpsenwikipediaorgwindexphptitleproteinstructurepredictionoldid1214882718
page information
printable version
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wiki protein
amino acid
secondary
tertiary
primary
design
computational biology
medicine
drug design
biotechnology
enzymes
casp
cameo3d
peptide bonds
carbonyl group
proteinogenic amino acids
glycine
cysteine
cystine
alpha helices
beta strands
dihedral angles
helix
alanine
glutamic acid
leucine
methionine
proline
tyrosine
serine
sheet
ramachandran plot
disordered or unfolded segments
random coil
introns
databases
structural classification of proteins
glaxo wellcome
active site
classes
protein domain
family
protein information resource
families of structurally similar proteins
motif
prosite
positionspecific scoring matrix
profile sequence context
hidden markov model
quaternary
superfamily
list of protein secondary structure prediction programs
bioinformatics
secondary structures
turns
dssp
stride
xray crystallography
transmembrane helices
coiled coils
sequence alignment
fold recognition
ab initio
structural motif
benchmarks
livebench
eva
helixcoil transition models
artificial neural networks
evolutionary
conservation
homologous sequences
multiple sequence alignment
machine learning
neural network
support vector machines
globular proteins
tertiary
choufasman method
gor method
information theory
bayesian inference
conditional probability
hydrogen bonding
psipred
jpred
backbone
contact number
homology modeling
dna
human genome project
structural genomics
nmr spectroscopy
protein free energy
finding the global minimum
astronomically large
de novo protein structure prediction
protein folding
stochastic
global optimization
blue gene
mdgrape3
foldinghome
human proteome folding project
rosettahome
coarsegrained modeling
mutations
nmr
homologous
protein threading
statistical potential
side chains
deadend elimination
selfconsistent mean field
rotamers
structural bioinformatics
richards
dunbrack rotamer libraries
hydrophobic
proteinprotein interaction prediction
complexes of two or more proteins
proteinprotein docking
protein structure prediction software
protein threading
deep learning
long shortterm memory
itasser
hhpred
alphafold
lstm
european bioinformatics institute
deepmind
protein function prediction
gene prediction
molecular design software
molecular modeling software
modelling biological systems
fragment libraries
lattice proteins
structure atlas of human genome
protein circular dichroism data bank
pmid
s2cid
isbn
bibcode
sejnowski terry j
rost burkhard
issn
arxiv
citeseerx
determination
cryoelectron microscopy
electron crystallography
fiber diffraction
mass spectrometry
circular dichroism
dualpolarization interferometry
absorbance
fluorescence
fluorescence anisotropy
analytical ultracentrifugation
size exclusion chromatography
light scattering
flow birefringence
dielectric relaxation
hydrogendeuterium exchange
sitedirected mutagenesis
chemical modification
equilibrium unfolding
molecular docking
methods
experimental
protein purification
green fluorescent protein
western blot
protein immunostaining
protein sequencing
gel electrophoresis
protein electrophoresis
protein immunoprecipitation
peptide mass fingerprinting
protein mass spectrometry
microscale thermophoresis
chromatin immunoprecipitation
surface plasmon resonance
isothermal titration calorimetry
freezefracture electron microscopy
protein structural alignment
protein ontology
assay
enzyme assay
protein assay
secretion assay
bacterial display
mrna display
phage display
ribosome display
yeast display
superresolution microscopy
photoactivated localization microscopy
vertico smi
biomolecular structure
thermodynamics
nucleic acid structure
primary
secondary
tertiary
quaternary
determination
prediction
design
thermodynamics
protein engineering
proteasome
nucleic acid
rna
nucleic acid double helix
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SEO Advice for en.wikipedia.org
In this section we provide pointers on how you can to optimize your web page so it can be found more easily by search engines and how to make it rank higher by optimizing the content of the page itself. For each of the individual criteria the maximum score is 100%. A score below 70% is considered to be indication that the page is not complying with general SEO standards and should be evaluated and/or fixed. Not every factor is weighted the same and some are not as important as others. Relatively unimportant factors like meta keywords are not included in the overall score.
Item | Factor | Pointers | |
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PageTitle | 100% | Far too many sites lack a page title. A page title is the first thing that shows in the search results so always use the title element. | |
Title relevance | 98% | A title should reflect the contents of a site. This site has a 75 % match | |
Title Length | 100% | Limit your title to anywhere between 40 and 70 characters. Your title was 41 characters long | |
Meta Description | 0% | A meta description is the second element that shows in the search results so always use the meta description. | |
Meta description length | 0% | The meta description should be between 145 and 160 characters. This meta description is 1 characters long. | |
Meta description relevance | 0% | Meta Description should reflect the contents of a site. This site has a 0 % match | |
Number of internal links | 30% | Linking to internal pages makes pages easier to find for search engines. Try to keep the number of links on your page roughly below 100. There are 546 internal links on this page. | |
Folder structure | 100% | We found a folder structure in the links on your page. A good folder structure makes a site easier to navigate. We found 3 level 1 folders and 7 folders above or in the first level of navigation. | |
Headings | 51% | Headers should reflect the contents of a site. This site has a 22 % match | |
Links | 10% | Link anchors should to some degree reflect the contents of a site. This site has a 5 % match | |
Image alt tags | 17% | Image alt tags should to some degree reflect the contents of a site. This site has a 6 % match | |
Bold and italic | 36% | Bold and italic tags should reflect the contents of a site to some degree. This site has a 12 % match | |
Html ratio | 75% | Try to keep the html / text ratio as low as possible. More html means longer loading times. Layout should be handled in a serpate css file | |
Image descriptions | 65% | 64.705882352941 % of all images have been described via the "alt" attribute. Describing images with relevant text may lead to better results in the search engines. | |
Page errors | 100% | Pages with no errors display significantly faster on most browsers. We detected 0 errors and warnings | |
WordCount | 20% | An ideal page contains between 400 and 600 words.This page contains 8794 words | |
Server response time | 100% | A fast server speeds up a website. This server responds 8.2% faster then average | |
Gzip compression | 30% | This site does not use Gzip compression. Pages may not display as fast as they could | |
Keywords in Domainname | 30% | There are no important keywords in your domain name | |
Keywords in domain path | 100% | There are important keywords in the domain path | |
Structured Data | 100% | Structured data makes it easier for search engines to index your website | |
Inline css | 0% | Do not use inline css declarations. Inline css will slow down the rendering of the website. We detected 80 inline style declarations ( <a style="color:green">) with a size of 1819 bytes | |
Excessive use of the same words | 100% | There is no indication that there are one or more keywords that are used excessively. | |
Frames or iframes | 100% | Perfect, detected not (i)frames on your webpagina | |
Flash | 100% | Perfect, we detected no flash objects on your page | |
Css | 30% | We detected too much (2) CSS files on your page. Css files block the loading of a webpage. | |
Javascript | 100% | Perfect, we did not detect too many blocking JavaScript files | |
Mobile Website | 100% | Perfect, we found a responsive design for mobile users | |
Most important heading | 100% | Perfect, we detected a correct use of the most important (h1) heading! | |
Normalized headings | 40% | We dit not font a normalized heading structure. A heading 2 (h2) for example should be followed by a heading of an equal level (h2), a child heading (h3) or even a aprent heading (h1). |
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en.wikipedia.org images and descriptions
17 images found at en.wikipedia.org Images can improve the user experience for a website by making a pag visually appealing Images can also add extra keyword relevance to a webpage by using alt tags. Images can also slow down a website. If the width and height for a picture is not specified for a browser know in advance how large the image is. A browser must first load the picture and see before it knows how much space should be on the page. Upon reservation In the meantime, the browser can do little but wait. When the height and width for the plate are given in the HTML code, a browser just continues to build for a page while the images load in the background.
http://en.wikipedia.org/static/images/icons/wikipedia.png height: 50 width: 50 description: no alt description found |
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http://en.wikipedia.org/static/images/mobile/copyright/wikipedia-wordmark-en.svg height: height attribute not set width: width attribute not set description: wikipedia |
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https://upload.wikimedia.org/wikipedia/commons/thumb/a/a6/protein-structure.png/220px-protein-structure.png height: 300 width: 220 description: no alt description found |
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https://upload.wikimedia.org/wikipedia/commons/thumb/d/d0/fipsi.png/200px-fipsi.png height: 119 width: 200 description: no alt description found |
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https://upload.wikimedia.org/wikipedia/commons/thumb/7/75/alpha_helix.png/100px-alpha_helix.png height: 232 width: 100 description: no alt description found |
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https://upload.wikimedia.org/wikipedia/commons/thumb/e/e1/the_performance_of_alphafold.png/220px-the_performance_of_alphafold.png height: 68 width: 220 description: a, the performance of alphafold on the casp14 dataset (n = 87 protein domains) relative to the top-15 entries (out of 146 entries), group numbers correspond to the numbers assigned to entrants by casp. data are median and the 95% confidence interval of the median, estimated from 10,000 bootstrap samples. b, our prediction of casp14 target t1049 (pdb 6y4f, blue) compared with the true (experimental) structure (green). four residues in the c terminus of the crystal structure are b-factor outliers and are not depicted. c, casp14 target t1056 (pdb 6yj1). an example of a well-predicted zinc-binding site (alphafold has accurate side chains even though it does not explicitly predict the zinc ion). d, casp target t1044 (pdb 6vr4)—a 2,180-residue single chain—was predicted with correct domain packing (the prediction was made after casp using alphafold without intervention). |
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https://upload.wikimedia.org/wikipedia/commons/thumb/2/2c/model_architecture.png/220px-model_architecture.png height: 72 width: 220 description: model architecture. arrows show the information flow among the various components described in this paper. array shapes are shown in parentheses with s, number of sequences (nseq in the main text); r, number of residues (nres in the main text); c, number of channels. |
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