{"id":"https://openalex.org/W4403791079","doi":"https://doi.org/10.1145/3664647.3680883","title":"MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign","display_name":"MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791079","doi":"https://doi.org/10.1145/3664647.3680883"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3680883","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3680883","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3664647.3680883","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101808238","display_name":"Jiangbin Zheng","orcid":"https://orcid.org/0000-0003-3305-0103"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangbin Zheng","raw_affiliation_strings":["Zhejiang University &amp; AI Lab, Westlake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3305-0103","affiliations":[{"raw_affiliation_string":"Zhejiang University &amp; AI Lab, Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399316","display_name":"Han Zhang","orcid":"https://orcid.org/0000-0002-5258-2642"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Zhang","raw_affiliation_strings":["Center of Synthetic Biology and Integrated Bioengineering, Westlake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5258-2642","affiliations":[{"raw_affiliation_string":"Center of Synthetic Biology and Integrated Bioengineering, Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qianqing Xu","orcid":"https://orcid.org/0009-0000-7114-5029"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqing Xu","raw_affiliation_strings":["Center of Synthetic Biology and Integrated Bioengineering, Westlake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-7114-5029","affiliations":[{"raw_affiliation_string":"Center of Synthetic Biology and Integrated Bioengineering, Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014819722","display_name":"An\u2010Ping Zeng","orcid":"https://orcid.org/0000-0001-9768-7096"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"An-Ping Zeng","raw_affiliation_strings":["Center of Synthetic Biology and Integrated Bioengineering, Westlake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9768-7096","affiliations":[{"raw_affiliation_string":"Center of Synthetic Biology and Integrated Bioengineering, Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082786719","display_name":"Stan Z. Li","orcid":"https://orcid.org/0000-0002-2961-8096"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Stan Z. Li","raw_affiliation_strings":["AI Lab, Westlake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2961-8096","affiliations":[{"raw_affiliation_string":"AI Lab, Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1721","last_page":"1730"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11407","display_name":"Innovative Microfluidic and Catalytic Techniques Innovation","score":0.9297000169754028,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7101189494132996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6883338093757629},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.5603947639465332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4093639850616455},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14330169558525085},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.07973140478134155}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7101189494132996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6883338093757629},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.5603947639465332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4093639850616455},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14330169558525085},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.07973140478134155}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3680883","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3680883","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3664647.3680883","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3680883","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1954297438","https://openalex.org/W2123936065","https://openalex.org/W2585152223","https://openalex.org/W2790952361","https://openalex.org/W2999905431","https://openalex.org/W3093698307","https://openalex.org/W3133458480","https://openalex.org/W3179485843","https://openalex.org/W3194968841","https://openalex.org/W4224988655","https://openalex.org/W4285209827","https://openalex.org/W4313554770","https://openalex.org/W4361017400","https://openalex.org/W4363625713","https://openalex.org/W4376612841","https://openalex.org/W4376867705","https://openalex.org/W4382469015","https://openalex.org/W4385730226","https://openalex.org/W4386065518","https://openalex.org/W4386523889","https://openalex.org/W4386923492","https://openalex.org/W4389472984","https://openalex.org/W4389546039","https://openalex.org/W4389559922","https://openalex.org/W4393160434"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Enzyme":[0],"design":[1,29,41,71,103,118,121,126,142],"plays":[2],"a":[3,33,66,77],"crucial":[4],"role":[5],"in":[6,52],"both":[7],"industrial":[8],"production":[9],"and":[10,24,50,68,123,132],"biology.":[11],"However,":[12],"this":[13,57],"field":[14],"faces":[15],"challenges":[16,62],"due":[17],"to":[18,32,87,99,139],"the":[19,25,46,83,155,158],"lack":[20],"of":[21,27,35,157],"comprehensive":[22],"benchmarks":[23],"complexity":[26],"enzyme":[28,40,70,102,114,141],"tasks,":[30,143],"leading":[31],"dearth":[34],"systematic":[36],"research.":[37],"Consequently,":[38],"computational":[39],"is":[42],"relatively":[43],"overlooked":[44],"within":[45],"broader":[47],"protein":[48,91],"domain":[49,96],"remains":[51],"its":[53],"early":[54],"stages.":[55],"In":[56],"work,":[58],"we":[59,94],"address":[60],"these":[61,152],"by":[63,75],"introducing":[64],"MetaEnzyme,":[65],"staged":[67],"unified":[69,130],"framework.":[72],"We":[73],"begin":[74],"employing":[76],"cross-modal":[78],"structure-to-sequence":[79],"transformation":[80],"architecture,":[81],"as":[82],"feature-driven":[84],"starting":[85],"point":[86],"obtain":[88],"initial":[89],"robust":[90],"representation.":[92],"Subsequently,":[93],"leverage":[95],"adaptive":[97],"techniques":[98],"generalize":[100],"specific":[101],"tasks":[104],"under":[105],"low-resource":[106,113],"conditions.":[107],"MetaEnzyme":[108,136],"focuses":[109],"on":[110],"three":[111],"fundamental":[112],"redesign":[115,159],"tasks:":[116],"functional":[117],"(FuncDesign),":[119],"mutation":[120],"(MutDesign),":[122],"sequence":[124],"generation":[125],"(SeqDesign).":[127],"Through":[128],"novel":[129],"paradigm":[131],"enhanced":[133],"representation":[134],"capabilities,":[135],"demonstrates":[137],"adaptability":[138],"diverse":[140],"yielding":[144],"outstanding":[145],"results.":[146],"Wet":[147],"lab":[148],"experiments":[149],"further":[150],"validate":[151],"findings,":[153],"reinforcing":[154],"efficacy":[156],"process.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
