Jennifer D. Atkins

Molecular Biology · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 75 citations into it; #13,396 of 17,773 by trust here, #12,465 by citations
• Materials Chemistry — 42 citations into it; #10,509 of 11,513 by trust here, #9,794 by citations
• Computational Biology & Bioinformatics — 9 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Jennifer D. Atkins trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Liam J. McGuffin
2. Daniel B. Roche
3. Christopher J. Oldfield
4. Norma J. Greenfield
5. A. Keith Dunker
6. Vladimir N Uversky
7. Maria T. Buenavista
8. Takashi Ishida
9. Bohdan Monastyrskyy
10. Andriy Kryshtafovych

Who trusts Jennifer D. Atkins overall

1. Liam J. McGuffin
2. Fanchi Meng
3. Ali Hassan Ahmed Maghrabi
4. Recep Adiyaman

Papers from Jennifer D. Atkins's perspective

Ordered by how strongly the researchers Jennifer D. Atkins trusts endorse each paper. Same corpus, a different order for every researcher.

1. Intrinsic disorder and protein function. (Biochemistry)
2. The importance of intrinsic disorder for protein phosphorylation. (Nucleic Acids Research)
3. Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm.
4. Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.
5. Coupling of folding and binding for unstructured proteins.
6. Intrinsic protein disorder in complete genomes. (Genome informatics. Workshop on Genome Informatics)
7. MetaDisorder: a meta-server for the prediction of intrinsic disorder in proteins
8. Showing your ID: intrinsic disorder as an ID for recognition, regulation and cell signaling
9. Improvement of 3D protein models using multiple templates guided by single-template model quality assessment
10. Basic local alignment search tool.

Their papers

• IntFOLD: an integrated server for modelling protein structures and functions from amino acid sequences (2015) — 116 citations
• Disorder Prediction Methods, Their Applicability to Different Protein Targets and Their Usefulness for Guiding Experimental Studies (2015) — 61 citations
• Accurate template‐based modeling in CASP12 using the IntFOLD4‐TS, ModFOLD6, and ReFOLD methods (2018) — 53 citations