Avner Schlessinger
Molecular Biology · 2003–2021
A researcher in the Science corpus: 10 papers; trusts 59 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 192 citations into it; #622 of 17,773 by trust here, #3,087 by citations
- Materials Chemistry — 99 citations into it; #864 of 11,513 by trust here, #6,079 by citations
- Computational Biology & Bioinformatics — 34 citations into it
- Spectroscopy — 29 citations into it
- Computational Theory and Mathematics — 19 citations into it
- Cell Biology — 15 citations into it
Whom Avner Schlessinger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Burkhard Rost
- Christopher Sander
- Vladimir N Uversky
- Peter Tompa
- H. J. Dyson
- Predrag Radivojac
- Zoran Obradovic
- Slobodan Vucetic
- Yumi Jin
- Jonathan J. Ward
Who trusts Avner Schlessinger overall
- Zhenling Peng
- Burkhard Rost
- Christian Schaefer
- Lukasz Kurgan
- Michael Heinzinger
- Fanchi Meng
- Yana Bromberg
- Jianyi Yang
- Guy Yachdav
- Bin Xue
Papers from Avner Schlessinger's perspective
Ordered by how strongly the researchers Avner Schlessinger trusts endorse each paper. Same corpus, a different order for every researcher.
- Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm.
- Intrinsically unstructured proteins. (TIBS -Trends in Biochemical Sciences. Regular ed)
- Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.
- Intrinsically disordered protein.
- Flavors of protein disorder (Proteins: Structure, Function, and Bioinformatics)
- Predicting intrinsic disorder from amino acid sequence (Proteins: Structure, Function, and Bioinformatics)
- Intrinsic protein disorder in complete genomes. (Genome informatics. Workshop on Genome Informatics)
- Protein data bank
- Coupling of folding and binding for unstructured proteins.
- GlobPlot: exploring protein sequences for globularity and disorder
Their papers
- Using multiple structure alignments, fast model building, and energetic analysis in fold recognition and homology modeling (2003) — 313 citations
- Natively unstructured regions in proteins identified from contact predictions (2007) — 125 citations
- PROFbval: predict flexible and rigid residues in proteins (2006) — 156 citations
- Natively Unstructured Loops Differ from Other Loops (2007) — 99 citations
- Improved Disorder Prediction by Combination of Orthogonal Approaches (2009) — 190 citations
- Protein flexibility and rigidity predicted from sequence (2005) — 189 citations
- Ligand Discovery from a Dopamine D3 Receptor Homology Model and Crystal Structure (2011) — 299 citations
- Rational design of ASCT2 inhibitors using an integrated experimental-computational approach (2021) — 60 citations
- ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI (2014)
- PredictProtein—an open resource for online prediction of protein structural and functional features (2014) — 539 citations