Zhenling Peng

Molecular Biology · 2010–2023

A researcher in the Science corpus: 17 papers; trusts 99 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 425 citations into it; #1,202 of 17,773 by trust here, #2,832 by citations
• Materials Chemistry — 181 citations into it; #2,569 of 11,513 by trust here, #4,323 by citations
• Computational Biology & Bioinformatics — 129 citations into it; #253 of 660 by trust here, #314 by citations
• Spectroscopy — 50 citations into it
• Computational Theory and Mathematics — 33 citations into it; #4,732 of 12,182 by trust here, #884 by citations
• Cell Biology — 16 citations into it
• Artificial Intelligence — 12 citations into it
• Ecology — 11 citations into it

Whom Zhenling Peng trusts overall

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

1. Avner Schlessinger
2. Zsuzsanna Dosztányi
3. Vladimir N Uversky
4. Liam J. McGuffin
5. A. Keith Dunker
6. David T. Jones
7. Peter Tompa
8. Lukasz Kurgan
9. Burkhard Rost
10. Stephen F. Altschul

Who trusts Zhenling Peng overall

1. Fanchi Meng
2. Lukasz Kurgan
3. Vladimir N Uversky
4. Bálint Mészáros
5. Zsuzsanna Dosztányi
6. Jack Hanson
7. Nawar Malhis
8. Gábor Erdös
9. Qian Xing
10. Marcin J. Mizianty

Papers from Zhenling Peng's perspective

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

1. Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm.
2. Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.
3. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
4. Intrinsically unstructured proteins. (TIBS -Trends in Biochemical Sciences. Regular ed)
5. Intrinsic disorder and protein function. (Biochemistry)
6. SCOP: a structural classification of proteins database for the investigation of sequences and structures.
7. Protein data bank
8. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
9. Sequence complexity of disordered protein
10. The importance of intrinsic disorder for protein phosphorylation. (Nucleic Acids Research)

Their papers

• Improved protein structure prediction using predicted interresidue orientations (2019) — 1,274 citations
• Protein contact prediction using metagenome sequence data and residual neural networks (2019) — 79 citations
• mTM-align: a server for fast protein structure database search and multiple protein structure alignment (2018) — 85 citations
• Comprehensive comparative assessment of in-silico predictors of disordered regions. (2012) — 176 citations
• High-throughput prediction of RNA, DNA and protein binding regions mediated by intrinsic disorder (2015) — 164 citations
• Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life (2014) — 345 citations
• COACH-D: improved protein–ligand binding sites prediction with refined ligand-binding poses through molecular docking (2018) — 259 citations
• Critical assessment of protein intrinsic disorder prediction (2020) — 286 citations
• Prediction of Disordered RNA, DNA, and Protein Binding Regions Using DisoRDPbind. (2017) — 76 citations
• Genome‐scale prediction of proteins with long intrinsically disordered regions (2014) — 125 citations
• APOD: accurate sequence-based predictor of disordered flexible linkers (2020) — 26 citations
• trRosettaRNA: automated prediction of RNA 3D structure with transformer network (2023) — 202 citations
• Single-sequence protein structure prediction using supervised transformer protein language models (2022) — 133 citations
• The trRosetta server for fast and accurate protein structure prediction (2021) — 596 citations
• An ensemble approach to protein fold classification by integration of template‐based assignment and support vector machine classifier (2016) — 50 citations
• MFDp2 (2013) — 35 citations
• Prediction of protein structural classes for low-homology sequences based on predicted secondary structure (2010) — 144 citations