From 721a650185138574d75e548b3e1f81113034ff45 Mon Sep 17 00:00:00 2001
From: jprocter The JABAWS AACon service implements 17 different conservation
+ scores for protein sequence alignments.
+ The majority of these scores were described by Valdar in 2002 (Scoring
+ residue conservation. Proteins: Structure, Function, and
+ Genetics 43(2): 227-241. PubMed or
+ available on the Valdar
+ Group publications page), but the SMERFs score was developed later
+ and described by Manning et al. in 2008 (BMC
+ Bioinformatics 2008, 9:51 doi:10.1186/1471-2105-9-51).
+
+ Enabling and disabling AACon calculations
+ Configuring which AACon calculations are performed
+ Changing the server used for AACon calculations
When
+ the AACon Calculation entry in the Web
+ Services→Conservation is ticked, AACon calculations will be
+ performed every time the alignment is modified. Selecting the menu
+ item will enable or disable automatic recalculation.
+
+ The Web Services→Conservation→Change AACon
+ Settings ... menu entry will open a web
+ services parameter dialog for the currently configured AACon server.
+ Standard presets are provided for quick and more expensive
+ conservation calculations, and parameters are also provided to change
+ the way that SMERFS calculations are performed.
AACon
+ settings for an alignment are saved in Jalview projects along with
+ the latest calculation results.
+
+
+ If you are working with alignments too large to analyse with the
+ public JABAWS server, then you will most likely have already
+ configured additional JABAWS
+ servers. By default, Jalview will chose the first AACon service
+ available from the list of JABAWS servers available. If available, you can switch to
+ use another AACon service by selecting it from the Web
+ Services→Conservation→Switch Server submenu.
+
Alignment programs supported by JABAWS
Alignment programs supported by JABAWS.
Versions shown are those bundled with JABAWS 2.01 - if you are using a different server, check its home page to find out which versions are provided.
Multiple Alignments of Sequences with hidden
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+
+
+
+
+ JABAWS Protein Disorder Prediction Services
+ Predictor results include both sequence
+ features and sequence associated alignment annotation rows.
+ Features display is controlled from the Feature Settings dialog
+ box. Clicking on the ID for a disorder prediction annotation row will
+ highlight or select (if double clicked) the associated sequence for
+ that row. You can also use the Sequence Associated option in
+ the Colour By
+ Annotation dialog box to colour sequences according to the results of
+ predictors shown as annotation rows.
+ JABAWS 2.0 provides four disorder predictors which are described
+ below:
+ DisEMBL
+ (Linding et al., 2003)
+ [1]. DSSP Classification: α-helix (H),
+ 310-helix (G), β-strand (E) are ordered, and all other states
+ (β-bridge (B), β-turn (T), bend (S), π-helix (I), and
+ coil (C)) considered loops or coils.
+
+ RONN a.k.a.
+ Regional Order Neural Network
+ [2]. JRonn denotes the score for this server because JABAWS
+ runs a Java port of RONN developed by Peter Troshin and distributed
+ as part of Biojava 3
+
+
+ IUPred
+ GLOBPLOT
+ Documentation and thresholds for the JABAWS Disorder
+ predictors adapted from a personal communication by Nancy Giang,
+ 2012.
+
+ The Web Services→Disorder menu in the alignment
+ window allows access to protein disorder prediction services provided
+ by the configured JABAWS
+ servers. Each service operates on sequences in the alignment to
+ identify regions likely to be unstructured or flexible, or
+ alternately, fold to form globular domains.
+
DisEMBL is a set of machine-learning
+ based predictors trained to recognise disorder-related annotation
+ found on PDB structures.
+
+
+
+
+
+ Name
+ Annotation type
+ Description
+
+
+ COILS
+ Sequence Feature &
+
Annotation Row
+ Predicts loops/coils according to DSSP definition[1].
+
Features mark range(s) of residues
+ predicted as loops/coils, and annotation row gives raw value for
+ each residue. Value over 0.516 indicates loop/coil.
+
+
+ HOTLOOPS
+ Sequence Feature &
+
Annotation Row
+ "Hot loops constitute a refined subset of COILS,
+ namely those loops with a high degree of mobility as determined from
+ Cα temperature factors (B factors). It follows that highly
+ dynamic loops should be considered protein disorder."
+
+ Features mark range(s) of residues predicted to be hot loops and
+ annotation row gives raw value for each residue. Values over 0.6
+ indicates hot loop.
+
+
+ REMARK465
+ Sequence Feature &
+
Annotation Row
+ "Missing coordinates in X-ray structure as defined by
+ remark465 entries in PDB. Nonassigned electron densities most often
+ reflect intrinsic disorder, and have been used early on in disorder
+ prediction."
+
Features gives range(s) of residues
+ predicted as disordered, and annotation row gives raw value for each
+ residue. Value over 0.1204 indicates disorder.
+
This predictor employs an approach
+ known as the 'bio-basis' method to predict regions of disorder in
+ sequences based on their local similarity with a gold-standard set of
+ disordered protein sequences. It yields a set of disorder prediction
+ scores, which are shown as sequence annotation below the alignment.
+
+
+
+
+ Name
+ Annotation type
+ Description
+
+
+ JRonn[2]
+ Annotation Row
+ RONN score for each residue in the sequence. Scores above
+ 0.5 identify regions of the protein likely to be disordered.
+
IUPred
+ employs an empirical model to estimate likely regions of disorder.
+ There are three different prediction types offered, each using
+ different parameters optimized for slightly different applications. It
+ provides raw scores based on two models for predicting regions of
+ 'long disorder' and 'short disorder'. A third predictor identifies
+ regions likely to form structured domains.
+
+
+
+
+ Name
+ Annotation type
+ Description
+
+
+ Long disorder
+ Annotation Row
+ Prediction of context-independent global disorder that
+ encompasses at least 30 consecutive residues of predicted disorder.
+ Employs a 100 residue window for calculation.
+
Values above 0.5
+ indicates the residue is intrinsically disordered.
+
+
+ Short disorder
+ Annotation Row
+ Predictor for short, (and probably) context-dependent,
+ disordered regions, such as missing residues in the X-ray structure
+ of an otherwise globular protein. Employs a 25 residue window for
+ calculation, and includes adjustment parameter for chain termini
+ which favors disorder prediction at the ends.
+
Values above 0.5
+ indicate short-range disorder.
+
+
+ Structured domains
+ Sequence Feature
+ Features highlighting likely globular domains useful for
+ structure genomics investigation.
+
Post-analysis of disordered
+ region profile to find continuous regions confidently predicted to
+ be ordered. Neighbouring regions close to each other are merged,
+ while regions shorter than the minimal domain size of at least 30
+ residues are ignored.
+
Defines regions
+ of globularity or natively unstructured regions based on a running sum
+ of the propensity of residues to be structured or unstructured. The
+ propensity is calculated based on the probability of each amino acid
+ being observed within well defined regions of secondary structure or
+ within regions of random coil. The initial signal is smoothed with a
+ Savitzky-Golay filter, and its first order derivative computed.
+ Residues for which the first order derivative is positive are
+ designated as natively unstructured, whereas those with negative
+ values are structured.
+
+
+
+
+ Name
+ Annotation type
+ Description
+
+
+ Disordered Region
+ Sequence Feature
+
+
Sequence features marking range(s) of residues with
+ positive dydx values (correspond to the #Disorder column from JABAWS
+ results)
+
+ Globular Domain
+ Sequence Feature
+ Putative globular domains
+
+
+ Dydx
+ Annotation row
+ First order derivative of smoothed score. Values above 0
+ indicates residue is disordered.
+
+
+ Smoothed Score
+
Raw Score
+ Annotation Row
+ The smoothed and raw scores used to create the differential
+ signal that indicates the presence of unstructured regions.
+
These
+ are hidden by default, but can be shown by right-clicking on the
+ alignment annotation panel and selecting Show
+ hidden annotation
+
+