Tianqi Wu

Molecular Biology · with Wang · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 62 citations into it
• Computational Biology & Bioinformatics — 28 citations into it
• Materials Chemistry — 22 citations into it

Whom Tianqi Wu trusts overall

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

1. Martin Steinegger
2. Jinbo Xu
3. Johannes Söding
4. David T. Jones
5. Sheng Wang
6. Jianlin Cheng
7. Badri Adhikari
8. Daniel W. A. Buchan
9. Jesse Eickholt
10. Bohdan Monastyrskyy

Papers from Tianqi Wu's perspective

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

1. MMseqs2: sensitive protein sequence searching for the analysis of massive data sets
2. Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.
3. Intrinsically Disordered Proteins in Cellular Signaling and Regulation
4. Improved protein contact predictions with the MetaPSICOV2 server in CASP12
5. A large-scale evaluation of computational protein function prediction
6. Clustering huge protein sequence sets in linear time
7. Predicting protein residue-residue contacts using deep networks and boosting
8. Structure and Function of Intrinsically Disordered Proteins
9. Evaluation of residue-residue contact prediction in CASP10
10. High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features

Their papers

• Critical assessment of protein intrinsic disorder prediction (2020) — 286 citations
• Analysis of several key factors influencing deep learning-based inter-residue contact prediction (2019) — 35 citations