{"doi":"10.1021/acs.jcim.2c01573","title":"CycPeptMPDB: A Comprehensive Database of Membrane Permeability of Cyclic Peptides","abstract":null,"journal":"Journal of Chemical Information and Modeling","year":2023,"id":671453,"datarank":2.4344941052803204,"base_score":4.499809670330265,"endowment":4.499809670330265,"self_citation_contribution":0.6749714505495399,"citation_network_contribution":1.7595226547307805,"self_endowment_contribution":0.6749714505495399,"citer_contribution":1.7595226547307805,"corpus_percentile":91.6,"corpus_rank":1164,"citation_count":89,"citer_count":82,"citers_with_citation_signal":57,"citers_with_endowment":57,"datacite_reuse_total":0,"is_dataset":true,"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":1754170,"name":"Keisuke Yanagisawa","orcid":"0000-0003-0224-0035","position":1,"is_corresponding":false},{"id":1025780,"name":"Masatake Sugita","orcid":"0000-0002-6298-4055","position":2,"is_corresponding":false},{"id":1754173,"name":"Takuya Fujie","orcid":"0000-0003-2103-6195","position":3,"is_corresponding":false},{"id":1754174,"name":"Masahito Ohue","orcid":"0000-0002-0120-1643","position":4,"is_corresponding":false},{"id":1025781,"name":"Yutaka Akiyama","orcid":"0000-0003-2863-8703","position":5,"is_corresponding":false},{"id":1308258,"name":"Jianan Li","orcid":"0000-0002-3508-5783","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"CycPeptMPDB: A Comprehensive Database of Membrane Permeability of Cyclic Peptides","abstract":"Recently, cyclic peptides have been considered breakthrough drugs because they can interact with \"undruggable\" targets such as intracellular protein-protein interactions. Membrane permeability is an essential indicator of oral bioavailability and intracellular targeting, and the development of membrane-permeable peptides is a bottleneck in cyclic peptide drug discovery. Although many experimental data on membrane permeability of cyclic peptides have been reported, a comprehensive database is not yet available. A comprehensive membrane permeability database is essential for developing computational methods for cyclic peptide drug design. In this study, we constructed CycPeptMPDB, the first web-accessible database of cyclic peptide membrane permeability. We collected information on a total of 7334 cyclic peptides, including the structure and experimentally measured membrane permeability, from 45 published papers and 2 patents from pharmaceutical companies. To unambiguously represent cyclic peptides larger than small molecules, we used the hierarchical editing language for macromolecules notation to generate a uniform sequence representation of peptides. In addition to data storage, CycPeptMPDB provides several supporting functions such as online data visualization, data analysis, and downloading. CycPeptMPDB is expected to be a valuable platform to support membrane permeability research on cyclic peptides. CycPeptMPDB can be freely accessed at http://cycpeptmpdb.com.","is_dataset_classified":null,"base_score":4.454347296253507,"endowment":4.454347296253507,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"36930969","pmcid":"PMC10091415","openalex_id":"https://openalex.org/W4327694659","authors":[],"funders":[{"funder_name":"Japan Agency for Medical Research and Development","grant_id":"JP22ama121026","title":null},{"funder_name":"Japan Society for the Promotion of Science","grant_id":"20K19917","title":null},{"funder_name":"Japan Society for the Promotion of Science","grant_id":"22H03684","title":null},{"funder_name":"Japan Science and Technology Agency","grant_id":"JPMJFR216J","title":null},{"funder_name":"Japan Science and Technology Agency","grant_id":"JPMJSP2106","title":null}],"total_grants":5,"fwci":7.8364,"citation_percentile":0.98494903,"influential_citations":0,"citation_trend":[{"year":2023,"count":6},{"year":2024,"count":17},{"year":2025,"count":33},{"year":2026,"count":29}],"oa_status":"hybrid","license":"cc-by","oa_locations":[{"url":"https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.2c01573","host_type":"journal"},{"url":"https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.2c01573","host_type":"publisher"},{"url":"https://doi.org/10.1021/acs.jcim.2c01573","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/36930969","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10091415","host_type":"repository"},{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10091415/pdf/ci2c01573.pdf","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC10091415","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC10091415?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["Chemical Synthesis and Analysis","Antimicrobial Peptides and Activities","Machine Learning in Bioinformatics","Peptides, Cyclic","Peptides","Drug Design","Drug Discovery","Permeability","Cell Membrane Permeability"],"mesh_terms":["Cell Membrane Permeability","Peptides","Peptides, Cyclic","Permeability","Drug Design","Drug Discovery"],"keywords":["Cyclic peptide","Membrane permeability","Membrane","Chemistry","Peptide","Intracellular","Database","Computational biology","Computer science","Biochemistry","Biology"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Industry, innovation and infrastructure"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-16T02:47:50.163101Z","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":[]}