Ian Walsh
Molecular Biology · 2012–2020
A researcher in the Science corpus: 6 papers; trusts 18 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 107 citations into it; #2,799 of 17,773 by trust here, #4,989 by citations
- Materials Chemistry — 52 citations into it; #5,115 of 11,513 by trust here, #6,817 by citations
- Computational Biology & Bioinformatics — 27 citations into it
- Cell Biology — 9 citations into it
Whom Ian Walsh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- W. Kabsch
- Rune Linding
- Peter Tompa
- Takashi Ishida
- Peter E. Wright
- Vladimir N Uversky
- Burkhard Rost
- Bohdan Monastyrskyy
- Jonathan J. Ward
- Gianluca Pollastri
Who trusts Ian Walsh overall
- Vladimir N Uversky
- Jack Hanson
- Nawar Malhis
- Fanchi Meng
- Zhenling Peng
- Qiong Wei
- Emilio Potenza
- Márton Miskei
- Lukasz Kurgan
- Zsuzsanna Dosztányi
Papers from Ian Walsh's perspective
Ordered by how strongly the researchers Ian Walsh trusts endorse each paper. Same corpus, a different order for every researcher.
- Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
- Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.
- Intrinsic disorder and protein function. (Biochemistry)
- GlobPlot: exploring protein sequences for globularity and disorder
- Prediction of protein secondary structure at better than 70% accuracy.
- The pairwise energy content estimated from amino acid composition discriminates between folded and intrinsically unstructured proteins.
- Protein disorder prediction: implications for structural proteomics.
- Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles
Their papers
- ESpritz: accurate and fast prediction of protein disorder (2012) — 502 citations
- MobiDB 2.0: an improved database of intrinsically disordered and mobile proteins (2014) — 190 citations
- Toward an accurate prediction of inter-residue distances in proteins using 2D recursive neural networks (2014) — 48 citations
- Comprehensive large-scale assessment of intrinsic protein disorder (2015) — 140 citations
- Critical assessment of protein intrinsic disorder prediction (2020) — 286 citations
- PASTA 2.0: an improved server for protein aggregation prediction (2014) — 431 citations