Martin Closter Jespersen
Molecular Biology · 2015–2019
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 64 citations into it
- Materials Chemistry — 16 citations into it
- Immunology — 15 citations into it
- Spectroscopy — 6 citations into it
Whom Martin Closter Jespersen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Helen M. Berman
- Burkhard Rost
- Yuedong Yang
- Morten Nielsen
- W. Kabsch
- John D. Westbrook
- Guoli Wang
- Martin Steinegger
Who trusts Martin Closter Jespersen overall
- J. L. Sánchez-Trincado
- Alba Grifoni
- Sandeep Kumar Dhanda
- Michael Heinzinger
- Ahmed Elnaggar
- Marta Gomez-Perosanz
Papers from Martin Closter Jespersen's perspective
Ordered by how strongly the researchers Martin Closter Jespersen trusts endorse each paper. Same corpus, a different order for every researcher.
- The Protein Data Bank
- Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
- 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.
- Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
- PISCES: recent improvements to a PDB sequence culling server
- DeepLoc: prediction of protein subcellular localization using deep learning
- JPred : a consensus secondary structure prediction server
- ElliPro: a new structure-based tool for the prediction of antibody epitopes (BMC Bioinformatics)
Their papers
- BepiPred-2.0: improving sequence-based B-cell epitope prediction using conformational epitopes (2017) — 1,496 citations
- NetSurfP-2.0: improved prediction of protein structural features by integrated deep learning (2018) — 550 citations
- IEDB-AR: immune epitope database—analysis resource in 2019 (2019) — 357 citations
- LYRA, a webserver for lymphocyte receptor structural modeling (2015) — 76 citations