/** Split objects into normal and disease components */
private void splitObjects() {
normalIds = new HashSet<Long>();
diseaseIds = new HashSet<Long>();
RenderablePathway diagram = (RenderablePathway) getRenderable();
if (pathway == null || diagram.getReactomeDiagramId() == null) return;
try {
GKInstance pdInst = adaptor.fetchInstance(diagram.getReactomeDiagramId());
// Get the disease pathway instance
List<GKInstance> pathways =
pdInst.getAttributeValuesList(ReactomeJavaConstants.representedPathway);
GKInstance diseasePathway = null;
GKInstance normalPathway = null;
GKInstance disease = (GKInstance) pathway.getAttributeValue(ReactomeJavaConstants.disease);
if (disease == null && contains(pathway, pathways)) {
normalPathway = pathway;
} else {
diseasePathway = pathway;
// There should be a normal pathway contained by a disease pathway
List<?> subPathways = diseasePathway.getAttributeValuesList(ReactomeJavaConstants.hasEvent);
for (Object obj : subPathways) {
GKInstance subPathway = (GKInstance) obj;
disease = (GKInstance) subPathway.getAttributeValue(ReactomeJavaConstants.disease);
if (disease == null && contains(subPathway, pathways)) {
normalPathway = subPathway;
break;
}
}
}
if (normalPathway != null) {
// Get all disease related objects
Set<GKInstance> normalEvents = InstanceUtilities.grepPathwayEventComponents(normalPathway);
for (GKInstance inst : normalEvents) normalIds.add(inst.getDBID());
Set<GKInstance> normalEntities = InstanceUtilities.grepPathwayParticipants(normalPathway);
for (GKInstance inst : normalEntities) normalIds.add(inst.getDBID());
if (diseasePathway != null) {
Set<GKInstance> allEvents = InstanceUtilities.grepPathwayEventComponents(diseasePathway);
allEvents.removeAll(normalEvents);
for (GKInstance inst : allEvents) {
diseaseIds.add(inst.getDBID());
// Want to make sure disease pathways are connected to objects
if (inst.getSchemClass().isa(ReactomeJavaConstants.ReactionlikeEvent)) {
Set<GKInstance> rxtEntities = InstanceUtilities.getReactionParticipants(inst);
for (GKInstance rxtEntity : rxtEntities) {
diseaseIds.add(rxtEntity.getDBID());
}
}
}
// Set<GKInstance> allEntities =
// InstanceUtilities.grepPathwayParticipants(diseasePathway);
// allEntities.removeAll(normalEntities);
// for (GKInstance inst : allEntities)
// diseaseIds.add(inst.getDBID());
}
}
splitComponents();
} catch (Exception e) {
e.printStackTrace();
}
}
/**
* Some of disease reactions may not be drawn in the pathway diagram (e.g. LoF or GoF reactions).
* These reactions should be overlaid onto their normalReaction counterparts, which are encoded by
* their normalReaction attributes.
*
* @param diseaseIds
*/
private void overlayDiseaseReactions(Set<Long> diseaseIds) {
// Get the list of all drawing objects for checking
Map<Long, Renderable> idToObject = new HashMap<Long, Renderable>();
List<Renderable> components = displayedObject.getComponents();
if (components == null || components.size() == 0) return;
for (Renderable r : components) {
if (r.getReactomeId() == null) continue;
idToObject.put(r.getReactomeId(), r);
}
try {
normalToDiseaseNode = new HashMap<Node, Node>();
for (Long diseaseId : diseaseIds) {
if (idToObject.containsKey(diseaseId)) continue;
// Have to copy the normal reactions to draw
GKInstance inst = adaptor.fetchInstance(diseaseId);
if (inst.getSchemClass().isa(ReactomeJavaConstants.ReactionlikeEvent)) {
List<GKInstance> normalReactions =
inst.getAttributeValuesList(ReactomeJavaConstants.normalReaction);
if (normalReactions != null && normalReactions.size() > 0) {
for (GKInstance normalRxt : normalReactions) {
Renderable r = idToObject.get(normalRxt.getDBID());
if (r instanceof HyperEdge) overlayDiseaseReaction((HyperEdge) r, inst);
}
}
}
}
return;
} catch (Exception e) {
e.printStackTrace();
}
}
/**
* Map mutated nodes in a disease reaction to displayed nodes in a normal reaction. The mapping is
* based on sharing of referenceEntity. This may not be reliable!
*
* @param diseaseReaction
* @param nodes
* @throws InvalidAttributeException
* @throws Exception @TODO: add a new attribute normalEntity in the PhysicalEntity class.
*/
private Map<Node, GKInstance> mapMutatedToNormalNodes(
GKInstance diseaseReaction,
HyperEdge normalReaction,
List<Node> nodes,
Set<GKInstance> lofInstances)
throws InvalidAttributeException, Exception {
List<GKInstance> efs =
diseaseReaction.getAttributeValuesList(ReactomeJavaConstants.entityFunctionalStatus);
// Map mutated entities to normal entities via ReferenceGeneProduct
Map<Node, GKInstance> normalToDiseaseEntity = new HashMap<Node, GKInstance>();
if (efs == null) return normalToDiseaseEntity;
for (GKInstance ef : efs) {
GKInstance pe = (GKInstance) ef.getAttributeValue(ReactomeJavaConstants.physicalEntity);
if (pe != null) {
Set<GKInstance> refEntities = getReferenceEntity(pe);
// want to find the matched node
for (Node node : nodes) {
if (node.getReactomeId() == null) continue;
GKInstance nodeInst = adaptor.fetchInstance(node.getReactomeId());
Set<GKInstance> nodeRefEntities = getReferenceEntity(nodeInst);
nodeRefEntities.retainAll(refEntities);
if (nodeRefEntities.size() > 0) {
normalToDiseaseEntity.put(node, pe);
if (isLOFEntity(ef)) {
lofInstances.add(pe);
}
break;
}
}
}
}
// TODO: May have to consider stoichiometries too!!!
// In gain of functions, some inputs or outputs may not be used by normal reactions.
// This method will do its best to map these reaction participants
Collection<GKInstance> mapped = normalToDiseaseEntity.values();
// First check inputs
List<GKInstance> diseaseInputs =
diseaseReaction.getAttributeValuesList(ReactomeJavaConstants.input);
List<Node> normalNodes = normalReaction.getInputNodes();
randomlyMapDiseaseNodesToNormalNodes(normalToDiseaseEntity, mapped, diseaseInputs, normalNodes);
// Check outputs
List<GKInstance> diseaseOutputs =
diseaseReaction.getAttributeValuesList(ReactomeJavaConstants.output);
normalNodes = normalReaction.getOutputNodes();
randomlyMapDiseaseNodesToNormalNodes(
normalToDiseaseEntity, mapped, diseaseOutputs, normalNodes);
// Check helpers
GKInstance ca =
(GKInstance) diseaseReaction.getAttributeValue(ReactomeJavaConstants.catalystActivity);
if (ca != null) {
List<GKInstance> catalysts = ca.getAttributeValuesList(ReactomeJavaConstants.physicalEntity);
normalNodes = normalReaction.getHelperNodes();
randomlyMapDiseaseNodesToNormalNodes(normalToDiseaseEntity, mapped, catalysts, normalNodes);
}
return normalToDiseaseEntity;
}
private void checkLossOfFunctionNodes() {
try {
lofNodes = new ArrayList<Node>();
List<Renderable> components = displayedObject.getComponents();
if (components == null || components.size() == 0) return;
for (Renderable r : components) {
if (r instanceof Node || r.getReactomeId() == null) continue;
if (!diseaseIds.contains(r.getReactomeId())) continue;
GKInstance inst = adaptor.fetchInstance(r.getReactomeId());
if (!inst.getSchemClass().isa(ReactomeJavaConstants.ReactionlikeEvent)
|| !inst.getSchemClass().isValidAttribute(ReactomeJavaConstants.entityFunctionalStatus))
continue;
List<GKInstance> efs =
inst.getAttributeValuesList(ReactomeJavaConstants.entityFunctionalStatus);
Set<GKInstance> lofPEs = new HashSet<GKInstance>();
for (GKInstance ef : efs) {
GKInstance pe = (GKInstance) ef.getAttributeValue(ReactomeJavaConstants.physicalEntity);
if (isLOFEntity(ef)) lofPEs.add(pe);
}
List<Node> nodes = ((HyperEdge) r).getConnectedNodes();
for (Node node : nodes) {
if (node.getReactomeId() == null) continue;
GKInstance nodeInst = adaptor.fetchInstance(node.getReactomeId());
Set<GKInstance> nodeRefEntities = getReferenceEntity(nodeInst);
for (GKInstance lofPE : lofPEs) {
Set<GKInstance> lofRefEntities = getReferenceEntity(lofPE);
lofRefEntities.retainAll(nodeRefEntities);
if (lofRefEntities.size() > 0) {
// A LOF node
lofNodes.add(node);
break;
}
}
}
}
} catch (Exception e) {
e.printStackTrace();
}
}
