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

  • Phosphoproteomics identifies microglial Siglec‐F inflammatory response during neurodegeneration 

    Morshed, Nader; Ralvenius, William; Nott, Alexander; Watson, Lauren Ashley; Rodriguez, Felicia H; e.a. (EMBO, 2020-12)
    Alzheimer’s disease (AD) is characterized by the appearance of amyloid-β plaques, neurofibrillary tangles, and inflammation in brain regions involved in memory. Using mass spectrometry, we have quantified the phosphoproteome ...

  • Toward a consensus in protein structure nomenclature 

    DaSilva, Linder C; Gurry, Thomas Jerome; Stultz, Collin M (Informa UK Limited, 2014-12)
    In a recent article, published in Intrinsically Disordered Proteins, a valuable consensus view regarding the nomenclature for disordered proteins was presented.1 In this work the authors present a thoughtful and systemic ...

  • Deriving neural architectures from sequence and graph kernels 

    Lei, Tao; Jin, Wengong; Barzilay, Regina; Jaakkola, Tommi S (MLResearch Press, 2017)
    The design of neural architectures for structured objects is typically guided by experimental insights rather than a formal process. In this work, we appeal to kernels over combinatorial structures, such as sequences and ...

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