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iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of Dipeptides
Research article (ACS Omega, 2022) · cited 16× · AI/ML
iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of Dipeptides
Summary
iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of Dipeptides is a scholarly article[1].
Key Facts
iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of Dipeptides's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of Dipeptides. Retrieved May 24, 2026, from https://4ort.xyz/entity/iamap-scm-a-novel-computational-tool-for-large-scale-identification-of-antimalarial-peptides-using-estimated-propensity-
MLA“iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of Dipeptides.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/iamap-scm-a-novel-computational-tool-for-large-scale-identification-of-antimalarial-peptides-using-estimated-propensity-.
BibTeX@misc{4ortxyz_iamap-scm-a-novel-computational-tool-for-large-scale-identification-of-antimalarial-peptides-using-estimated-propensity-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of Dipeptides}}, year = {2026}, url = {https://4ort.xyz/entity/iamap-scm-a-novel-computational-tool-for-large-scale-identification-of-antimalarial-peptides-using-estimated-propensity-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of Dipeptides — https://4ort.xyz/entity/iamap-scm-a-novel-computational-tool-for-large-scale-identification-of-antimalarial-peptides-using-estimated-propensity- (retrieved 2026-05-24)
