<HashMap><database>BioModels</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Txt>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=curation_notes.txt</Txt><Pdf>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=BIOMD0000000430.pdf</Pdf><Owl>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=BIOMD0000000430-biopax2.owl</Owl><Owl>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=BIOMD0000000430-biopax3.owl</Owl><Svg>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=BIOMD0000000430.svg</Svg><Xml>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=BIOMD0000000430_url.xml</Xml><Xml>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=manifest.xml</Xml><Other>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=BIOMD0000000430.ode</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=BIOMD0000000430.vcml</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=BIOMD0000000430-matlab.m</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=BIOMD0000000430.png</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=curation_image.png</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=BIOMD0000000430-octave.m</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=BIOMD0000000430.m</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=BIOMD0000000430_url.sedml</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000430?filename=metadata.rdf</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><submitter>Uddipan Sarma</submitter><curationStatus>Manually curated</curationStatus><modellingApproach>ordinary differential equation model</modellingApproach><levelVersion>L2V4</levelVersion><full_dataset_link>https://www.ebi.ac.uk/biomodels/BIOMD0000000430</full_dataset_link><publication_pubmed>22748295</publication_pubmed><isPrivate>false</isPrivate><repository>BioModels</repository><modelFormat>SBML</modelFormat><omics_type>Models</omics_type><tokenised_name>Sarma2012   Interaction topologies of MAPK cascade (M4 K2 USEQ)</tokenised_name><publication_year>2012</publication_year><submissionId>MODEL1204280020</submissionId><publication_authors>Uddipan Sarma, Indira Ghosh</publication_authors><first_author>Uddipan Sarma</first_author><publication>22748295,
                            &lt;h4>Background&lt;/h4>The three layer mitogen activated protein kinase (MAPK) signaling cascade exhibits different designs of interactions between its kinases and phosphatases. While the sequential interactions between the three kinases of the cascade are tightly preserved, the phosphatases of the cascade, such as MKP3 and PP2A, exhibit relatively diverse interactions with their substrate kinases. Additionally, the kinases of the MAPK cascade can also sequester their phosphatases. Thus, each topologically distinct interaction design of kinases and phosphatases could exhibit unique signal processing characteristics, and the presence of phosphatase sequestration may lead to further fine tuning of the propagated signal.&lt;h4>Results&lt;/h4>We have built four architecturally distinct types of models of the MAPK cascade, each model with identical kinase-kinase interactions but unique kinases-phosphatases interactions. Our simulations unravelled that MAPK cascade's robustness to external perturbations is a function of nature of interaction between its kinases and phosphatases. The cascade's output robustness was enhanced when phosphatases were sequestrated by their target kinases. We uncovered a novel implicit/hidden negative feedback loop from the phosphatase MKP3 to its upstream kinase Raf-1, in a cascade resembling the B cell MAPK cascade. Notably, strength of the feedback loop was reciprocal to the strength of phosphatases' sequestration and stronger sequestration abolished the feedback loop completely. An experimental method to verify the presence of the feedback loop is also proposed. We further showed, when the models were activated by transient signal, memory (total time taken by the cascade output to reach its unstimulated level after removal of signal) of a cascade was determined by the specific designs of interaction among its kinases and phosphatases.&lt;h4>Conclusions&lt;/h4>Differences in interaction designs among the kinases and phosphatases can differentially shape the robustness and signal response behaviour of the MAPK cascade and phosphatase sequestration dramatically enhances the robustness to perturbations in each of the cascade. An implicit negative feedback loop was uncovered from our analysis and we found that strength of the negative feedback loop is reciprocally related to the strength of phosphatase sequestration. Duration of output phosphorylation in response to a transient signal was also found to be determined by the individual cascade's kinase-phosphatase interaction design.. null, 6.
                            National Centre for Cell Science, Ganeshkhind, Pune-7, India. uddipans@gmail.com</publication><submitter_mail>uddipans@gmail.com</submitter_mail><submitter_affiliation>National Centre for Cell Science</submitter_affiliation><publicationId>BIOMD0000000430</publicationId><pubmed_abstract>We mathematically modeled the receptor-dependent mitogen-activated protein kinase (MAPK) signaling by incorporating the regulation through cellular phosphatases. Activation induced the alignment of a phosphatase cascade in parallel with the MAPK pathway. A novel regulatory motif was, thus, generated, providing for the combinatorial control of each MAPK intermediate. This ensured a non-linear mode of signal transmission with the output being shaped by the balance between the strength of input signal and the activity gradient along the phosphatase axis. Shifts in this balance yielded modulations in topology of the motif, thereby expanding the repertoire of output responses. Thus, we identify an added dimension to signal processing wherein the output response to an external stimulus is additionally filtered through indicators that define the phenotypic status of the cell.</pubmed_abstract><pubmed_abstract>&lt;h4>Background&lt;/h4>The three layer mitogen activated protein kinase (MAPK) signaling cascade exhibits different designs of interactions between its kinases and phosphatases. While the sequential interactions between the three kinases of the cascade are tightly preserved, the phosphatases of the cascade, such as MKP3 and PP2A, exhibit relatively diverse interactions with their substrate kinases. Additionally, the kinases of the MAPK cascade can also sequester their phosphatases. Thus, each topologically distinct interaction design of kinases and phosphatases could exhibit unique signal processing characteristics, and the presence of phosphatase sequestration may lead to further fine tuning of the propagated signal.&lt;h4>Results&lt;/h4>We have built four architecturally distinct types of models of the MAPK cascade, each model with identical kinase-kinase interactions but unique kinases-phosphatases interactions. Our simulations unravelled that MAPK cascade's robustness to external perturbations is a function of nature of interaction between its kinases and phosphatases. The cascade's output robustness was enhanced when phosphatases were sequestrated by their target kinases. We uncovered a novel implicit/hidden negative feedback loop from the phosphatase MKP3 to its upstream kinase Raf-1, in a cascade resembling the B cell MAPK cascade. Notably, strength of the feedback loop was reciprocal to the strength of phosphatases' sequestration and stronger sequestration abolished the feedback loop completely. An experimental method to verify the presence of the feedback loop is also proposed. We further showed, when the models were activated by transient signal, memory (total time taken by the cascade output to reach its unstimulated level after removal of signal) of a cascade was determined by the specific designs of interaction among its kinases and phosphatases.&lt;h4>Conclusions&lt;/h4>Differences in interaction designs among the kinases and phosphatases can differentially shape the robustness and signal response behaviour of the MAPK cascade and phosphatase sequestration dramatically enhances the robustness to perturbations in each of the cascade. An implicit negative feedback loop was uncovered from our analysis and we found that strength of the negative feedback loop is reciprocally related to the strength of phosphatase sequestration. Duration of output phosphorylation in response to a transient signal was also found to be determined by the individual cascade's kinase-phosphatase interaction design.</pubmed_abstract><pubmed_title>Different designs of kinase-phosphatase interactions and phosphatase sequestration shapes the robustness and signal flow in the MAPK cascade.</pubmed_title><pubmed_title>Integration of a phosphatase cascade with the mitogen-activated protein kinase pathway provides for a novel signal processing function.</pubmed_title><pubmed_authors>Sarma Uddipan U, Ghosh Indira I</pubmed_authors><pubmed_authors>Chaudhri Virendra K VK, Kumar Dhiraj D, Misra Manjari M, Dua Raina R, Rao Kanury V S KV</pubmed_authors><description_synonyms>extent, PP2A[[C]], DmErk, extracellular signal-regulated kinase activity, PR53, B Cells, pp44mapk, PR55, Public Sectors, l(3)S026326, Tyro5, Phosphatase, B cell, PP2A[B], A4, pr53, anon-WO0118547.420, raf, phosphorylation, Long Term, Prp4 protein kinase activity, DmelCG7109, 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A-kinase activity, MAP kinase 1 activity, CG2845</pubmed_abstract_synonyms><pubmed_title_synonyms>Transphosphorylases, Phosphoric Monoester, MAPK signaling., Kinases, Phosphatase, ERK/MAPK cascade, phosphoric monoester hydrolase activity, Transphosphorylase, Monoester Hydrolase, Phosphomonoesterases, Phosphotransferases, Phosphoric Monoester Hydrolase, Phosphohydrolases, Phosphatases, Phosphomonoesterase, Hydrolase, Phosphohydrolase, MAPKKK cascade during sporulation, MAPK signalling, Phosphoric, Kinase, ATP Phosphotransferases, Hydrolases, phosphatase, Phosphotransferase, ATP</pubmed_title_synonyms></additional><is_claimable>false</is_claimable><name>Sarma2012 - Interaction topologies of MAPK cascade (M4_K2_USEQ)</name><description>
      
        Sarma2012 - Interaction topologies of MAPK cascade (M4_K2_USEQ)
                  The paper presents the various interaction topologies between the kinases and phosphatases of MAPK cascade. They are represented as M1, M2, M3 and M4. The kinases of the cascades are MKKK, MKK and MK, and Phos1, Phos2 and Phos3 are phosphatases of the system. All three kinases in a M1 type network have specific phosphatases Phos1, Phos2 and Phos3 for the dephosphorylation process. In a M2 type system, kinases MKKK and MKK are dephosphorylated by Phos1 and MK is dephosphorylated by Phos2. The architecture of system like M3 is such that MKKK gets dephosphorylated by Phos1, whereas Phos2 dephosphorylates both MKK and MK. Finally, the MAPK cascade exhibiting more complex design of interaction such as M4 is such that MKKK and MKK are dephosphorylated by Phos1 whereas MKK and MK are dephosphorylated by Phos2. In addition, as it is plausible that the kinases can sequester their respective phosphatases by binding to them, this is considered in the design of the systems (PSEQ-sequestrated system; USEQ-Unsequestrated system). The robustness of different interaction designs of the systems is checked, considering both MichaelisMenten type kinetics (K1) and elementary mass action kinetics (K2). In the living systems, the MAPK cascade transmit both short and long duration signals where short duration signals trigger proliferation and long duration signals trigger cell differentiation. These signal variants are considered to interpret the systems behaviour. It is also tested how the robustness and signal response behaviour of K2 models are affected when K2 assumes quasi steady state (QSS). The combinations of the above variants resulted in 40 models (MODEL1204280001-40). All these 40 models are available from        BioModels Database
            .        
                Models that correspond to type M4 with mass-action kinetics K2, in four condition 1) USEQ [        MODEL1204280020
            - M4_K2_USEQ], 2) PSEQ [        MODEL1204280024
            - M4_K2_PSEQ], 3) QSS_USEQ [        MODEL1204280036
            - M4_K2_QSS_USEQ] and 4) QSS_PSEQ [        MODEL1204280040
            - M4_K2_QSS_PSEQ] are available from the curated branch. The remaining 36 models can be accessed from the non-curated branch.        
                This model [        MODEL1204280020
            - M4_K2_USEQ] correspond to type M4 with mass-action kinetics K2, in USEQ (Unsequestrated ) condition.        
                
                  This model is described in the article:
                        Different designs of kinase-phosphatase interactions and phosphatase sequestration shapes the robustness and signal flow in the MAPK cascade.
                    
                Sarma U, Ghosh I.
                BMC Syst Biol. 2012 Jul 2;6(1):82.
                Abstract:
                        BACKGROUND: The three layer mitogen activated protein kinase (MAPK) signaling cascade exhibits different designs of interactions between its kinases and phosphatases. While the sequential interactions between the three kinases of the cascade are tightly preserved, the phosphatases of the cascade, such as MKP3 and PP2A, exhibit relatively diverse interactions with their substrate kinases. Additionally, the kinases of the MAPK cascade can also sequester their phosphatases. Thus, each topologically distinct interaction design of kinases and phosphatases could exhibit unique signal processing characteristics, and the presence of phosphatase sequestration may lead to further fine tuning of the propagated signal.
                    RESULTS: We have built four models of the MAPK cascade, each model with identical kinase-kinase interactions but unique kinases-phosphatases interactions. Our simulations unravelled that MAPK cascade's robustness to external perturbations is a function of nature of interaction between its kinases and phosphatases. The cascade's output robustness was enhanced when phosphatases were sequestrated by their target kinases. We uncovered a novel implicit/hidden negative feedback loop from the phosphatase MKP3 to its upstream kinase Raf-1, in a cascade resembling the B cell MAPK cascade. Notably, strength of the feedback loop was reciprocal to the strength of phosphatases' sequestration and stronger sequestration abolished the feedback loop completely. An experimental method to verify the presence of the feedback loop is also proposed. We further showed, when the models were activated by transient signal, memory (total time taken by the cascade output to reach its unstimulated level after removal of signal) of a cascade was determined by the specific designs of interaction among its kinases and phosphatases.
                    CONCLUSIONS: Differences in interaction designs among the kinases and phosphatases can differentially shape the robustness and signal response behaviour of the MAPK cascade and phosphatase sequestration dramatically enhances the robustness to perturbations in each of the cascade. An implicit negative feedback loop was uncovered from our analysis and we found that strength of the negative feedback loop is reciprocally related to the strength of phosphatase sequestration. Duration of output phosphorylation in response to a transient signal was also found to be determined by the individual cascade's kinase-phosphatase interaction design.
                    
                
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