Peng Xiong

Molecular Biology · with Chen · 2014–2023

A researcher in the Science corpus: 5 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 111 citations into it
• Materials Chemistry — 31 citations into it
• Computational Biology & Bioinformatics — 18 citations into it

Whom Peng Xiong trusts overall

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

1. Rhiju Das
2. Andrew M. Watkins
3. Yang Zhang
4. Yan Zhao
5. David Baker
6. Jeffrey Skolnick
7. Andrew Leaver-Fay
8. Marc-André Parisien
9. Donald G. Truhlar
10. Frank Delaglio

Who trusts Peng Xiong overall

1. Jingxue Wang
2. Yifei Qi
3. I. Samish

Papers from Peng Xiong's perspective

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

1. Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules
2. A large scale test of computational protein design: folding and stability of nine completely redesigned globular proteins.
3. ModeRNA: a tool for comparative modeling of RNA 3D structure
4. Structure prediction for CASP8 with all-atom refinement using Rosetta
5. Computational design of proteins targeting the conserved stem region of influenza hemagglutinin
6. Highly accurate protein structure prediction with AlphaFold
7. New metrics for comparing and assessing discrepancies between RNA 3D structures and models.
8. TM-align: a protein structure alignment algorithm based on the TM-score
9. lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests
10. Atomic accuracy in predicting and designing non-canonical RNA structure

Their papers

• Protein design with a comprehensive statistical energy function and boosted by experimental selection for foldability (2014) — 85 citations
• Accurate RNA 3D structure prediction using a language model-based deep learning approach (2022) — 213 citations
• RNA tertiary structure modeling with BRiQ potential in CASP15 (2023) — 29 citations
• Pairing a high-resolution statistical potential with a nucleobase-centric sampling algorithm for improving RNA model refinement (2021) — 59 citations
• Increasing the efficiency and accuracy of the ABACUS protein sequence design method (2020) — 51 citations