{"doi":"10.1007/978-3-7643-7567-6_7","title":"Metabolic control analysis to identify optimal drug targets","abstract":null,"journal":"Systems Biological Approaches in Infectious Diseases","year":2007,"id":623930,"datarank":2.213424016954575,"base_score":4.060443010546419,"endowment":4.060443010546419,"self_citation_contribution":0.6090664515819629,"citation_network_contribution":1.604357565372612,"self_endowment_contribution":0.6090664515819629,"citer_contribution":1.604357565372612,"corpus_percentile":null,"corpus_rank":null,"citation_count":57,"citer_count":48,"citers_with_citation_signal":40,"citers_with_endowment":40,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1612766,"name":"Frank J. Bruggeman","orcid":null,"position":1,"is_corresponding":false},{"id":1612767,"name":"Barbara M. Bakker","orcid":null,"position":2,"is_corresponding":false},{"id":30145,"name":"Hans V. Westerhoff","orcid":"0000-0002-0443-6114","position":3,"is_corresponding":false},{"id":1612764,"name":"Jorrit J. Hornberg","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Metabolic control analysis to identify optimal drug targets","abstract":"This chapter describes the basic principles of Metabolic Control Analysis (MCA) which is a quantitative methodology to evaluate the importance and relative contribution of individual metabolic steps in the overall functioning of a particular system. The control on the flux through a metabolic pathway or subsystem can be quantified by the control coefficients of the individual enzymes or components which reflects the extent to which the component is rate-limiting. The perturbation of an individual step is measured by its elasticity coefficient. The effect of perturbation of a single step on the entire pathway or subsystem is, in turn, measured by the response coefficient. Differential control analysis can be used to compare flux through a single metabolic pathway in a pathogen with the same pathway in its host to identify uniquely vulnerable steps with the greatest potential for specifically inhibiting flux through the pathogen metabolic pathway. The utility of this methodology is illustrated with the glycolysis in Trypanosomes and with oncogenic signaling.","is_dataset_classified":null,"base_score":4.060443010546419,"endowment":4.060443010546419,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"17195475","pmcid":null,"openalex_id":"https://openalex.org/W2121599125","authors":[],"funders":[{"funder_name":"Biotechnology and Biological Sciences Research Council","grant_id":"BB/I004688/1","title":null},{"funder_name":"Biotechnology and Biological Sciences Research Council","grant_id":"BB/F003536/1","title":null},{"funder_name":"Biotechnology and Biological Sciences Research Council","grant_id":"BB/C008219/1","title":null},{"funder_name":"Biotechnology and Biological Sciences Research Council","grant_id":"BB/F003528/1","title":null},{"funder_name":"Biotechnology and Biological Sciences Research Council","grant_id":"BB/F003544/1","title":null},{"funder_name":"Biotechnology and Biological Sciences Research Council","grant_id":"BB/I004696/1","title":null},{"funder_name":"Biotechnology and Biological Sciences Research Council","grant_id":"BB/I00470X/1","title":null},{"funder_name":"Biotechnology and Biological Sciences Research Council","grant_id":"BB/F003552/1","title":null},{"funder_name":"Biotechnology and Biological Sciences Research Council","grant_id":"BB/D019079/1","title":null}],"total_grants":9,"fwci":25.721,"citation_percentile":0.99567675,"influential_citations":0,"citation_trend":[{"year":2012,"count":3},{"year":2013,"count":4},{"year":2014,"count":8},{"year":2015,"count":5},{"year":2016,"count":2},{"year":2018,"count":2},{"year":2019,"count":2},{"year":2020,"count":3},{"year":2023,"count":1},{"year":2025,"count":2}],"oa_status":"closed","license":"http://www.springer.com/tdm","oa_locations":[{"url":"http://link.springer.com/content/pdf/10.1007/978-3-7643-7567-6_7","host_type":"publisher"},{"url":"https://doi.org/10.1007/978-3-7643-7567-6_7","host_type":"ebook platform"},{"url":"https://pubmed.ncbi.nlm.nih.gov/17195475","host_type":"repository"},{"url":"https://research.rug.nl/en/publications/5a958f03-1831-4d0b-be9e-1c9f900988e9","host_type":"repository"},{"url":"https://ir.cwi.nl/pub/16284","host_type":"repository"},{"url":"https://hdl.handle.net/1871.1/f844d4ff-8add-4eaf-835b-7a26397f35c8","host_type":"repository"},{"url":"https://research.vu.nl/en/publications/f844d4ff-8add-4eaf-835b-7a26397f35c8","host_type":"repository"}],"fields_of_study":["Trypanosoma species research and implications","Biochemical and Molecular Research","Protein Structure and Dynamics"],"mesh_terms":["Animals","Antineoplastic Agents","Antiprotozoal Agents","Brain","Humans","Metabolism","Models, Theoretical","Neoplasms","Trypanosoma brucei brucei","Drug Design","Signal Transduction","Cell Proliferation"],"keywords":["Metabolic control analysis","Metabolic pathway","Flux (metallurgy)","Glycolysis","Metabolic network","Limiting","Biology","Biological system","Computational biology","Enzyme","Control theory (sociology)","Bioinformatics","Chemistry","Control (management)","Biochemistry","Computer science","Engineering","Biotechnology"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-04T02:00:14.782981Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}