Research Highlight | Center for Nanoscale Materials

Accelerating peptide discovery with machine learning
In a study published in Science Advances, researchers used machine learning to predict unconventional self-assembling peptide materials, refining models over 3 iterations with >250 peptides, accelerating innovation in medicine and electronics.
Accelerating peptide discovery with machine learning image
π“π‘πž 𝐨𝐯𝐞𝐫𝐚π₯π₯ 𝐰𝐨𝐫𝐀𝐟π₯𝐨𝐰 𝐟𝐨𝐫 𝐝𝐒𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐨𝐟 𝛃 π¬π‘πžπžπ­β€“πŸπ¨π«π¦π’π§π  𝐩𝐞𝐧𝐭𝐚𝐩𝐞𝐩𝐭𝐒𝐝𝐞𝐬. Our active learning methodology iterates over four steps: generation/updating of experimental database, ML model training, pentapeptide candidate screening, and synthesis and characterization of screened peptide sequences.

Scientific Achievement

Researchers successfully used machine learning to accurately predict and discover unconventional self-assembling peptide materials, surpassing traditional design methods.

Significance and Impact

The ability to leverage machine learning to accelerate the discovery of innovative peptide materials has the potential to transform applications like medicine and electronics.

Research Details

  • At the CNM, curated a database of > 250 in-house synthesized and spectroscopically characterized peptides.
  • Machine Learning refinement occurred over 3 iterations leading to enhanced precision.

DOI: 10.1126/sciadv.adt9466

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The Center for Nanoscale Materials is one of the five DOE Nanoscale Science Research Centers, premier national user facilities for interdisciplinary research at the nanoscale supported by the DOE Office of Science. Together the NSRCs comprise a suite of complementary facilities that provide researchers with state-of-the-art capabilities to fabricate, process, characterize and model nanoscale materials, and constitute the largest infrastructure investment of the National Nanotechnology Initiative. The NSRCs are located at DOE’s Argonne, Brookhaven, Lawrence Berkeley, Oak Ridge, Sandia and Los Alamos National Laboratories. For more information about the DOE NSRCs, please visit https://​sci​ence​.osti​.gov/​U​s​e​r​-​F​a​c​i​l​i​t​i​e​s​/​U​s​e​r​-​F​a​c​i​l​i​t​i​e​s​-​a​t​-​a​-​G​lance.

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