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Evolutionary Probability and Stacked Regressions Enable Data-Driven Protein Engineering with Minimized Experimental Effort

; ; ;

In
Journal of chemical information and modeling 64(16), Seiten/Artikel-Nr.:6350-6360

ImpressumWashington, DC : American Chemical Society

ISSN1549-960X

Online
DOI: 10.1021/acs.jcim.4c00704


Einrichtungen

  1. Lehrstuhl für Biotechnologie (162610)
  2. Fachgruppe Biologie (160000)


Thematische Einordnung (Klassifikation)
DDC: 540


Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85200696225
WOS Core Collection: WOS:001282963700001
PubMed: pmid:39088689

Interne Identnummern
RWTH-2024-10110
Datensatz-ID: 995736

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO

Medline ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Essential Science Indicators ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Mathematics and Natural Sciences (Fac.1) > Department of Biology
Public records
Publications database
160000
162610
 Record created 2024-10-28, last modified 2025-10-06
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