MIT Open Access Articles
The MIT Open Access Articles collection consists of scholarly articles written by MIT-affiliated authors that are made available through DSpace@MIT under the MIT Faculty Open Access Policy, or under related publisher agreements. Articles in this collection generally reflect changes made during peer-review.
Version details are supplied for each paper in the collection:
- Original manuscript: author's manuscript prior to formal peer review
- Author's final manuscript: final author's manuscript post peer review, without publisher's formatting or copy editing
- Final published version: final published article, as it appeared in a journal, conference proceedings, or other formally published context (this version appears here only if allowable under publisher's policy)
Some peer-reviewed scholarly articles are available through other DSpace@MIT collections, such as those for departments, labs, and centers.
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Recent Submissions
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Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics
(Informa UK Limited, 2022-01-25)Machine learning has been recently used to predict therapeutic antibody aggregation rates and viscosity at high concentrations (150 mg/ml). These works focused on commercially available antibodies, which may have been ... -
Enhanced O-glycosylation site prediction using explainable machine learning technique with spatial local environment
(Oxford University Press, 2025-02-04)Motivation: The accurate prediction of O-GlcNAcylation sites is crucial for understanding disease mechanisms and developing effective treatments. Previous machine learning (ML) models primarily relied on primary or secondary ... -
Leveraging microtopography to pattern multi-oriented muscle actuators
(Royal Society of Chemistry, 2025-03-14)Engineering skeletal muscle tissue with precisely defined alignment is of significant importance for applications ranging from drug screening to biohybrid robotics. Aligning 2D contractile muscle monolayers, which are ...
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