Michael Schantz Klausen
Molecular Biology · 2015–2018
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 40 citations into it
- Materials Chemistry — 15 citations into it
- Spectroscopy — 6 citations into it
Whom Michael Schantz Klausen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Burkhard Rost
- Guoli Wang
- Yuedong Yang
- Roland L. Dunbrack
- Georgii G. Krivov
- W. Kabsch
- Martin Steinegger
- James A. Cuff
- Rhys Heffernan
- Jack Hanson
Who trusts Michael Schantz Klausen overall
- Michael Heinzinger
- Ahmed Elnaggar
- Jesse Vig
- Ragul Gowthaman
- Sandeep Kumar Dhanda
- Christian Dallago
- Yu Wang
Papers from Michael Schantz Klausen's perspective
Ordered by how strongly the researchers Michael Schantz Klausen trusts endorse each paper. Same corpus, a different order for every researcher.
- Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
- The Protein Data Bank
- Capturing non‐local interactions by long short‐term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and…
- HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
- Protein disorder prediction: implications for structural proteomics.
- The Protein Data Bank.
- Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
- PISCES: recent improvements to a PDB sequence culling server
- JPred : a consensus secondary structure prediction server
- DeepLoc: prediction of protein subcellular localization using deep learning
Their papers
- NetSurfP-2.0: improved prediction of protein structural features by integrated deep learning (2018) — 550 citations
- LYRA, a webserver for lymphocyte receptor structural modeling (2015) — 76 citations