Shaomeng Wang

Molecular Biology · 2002–2019

A researcher in the Science corpus: 12 papers; trusts 6 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 73 citations into it; #1,655 of 17,773 by trust here, #1,476 by citations
• Computational Chemistry & Drug Discovery — 23 citations into it; #62 of 425 by trust here, #46 by citations
• Computational Theory and Mathematics — 12 citations into it; #1,637 of 12,182 by trust here, #188 by citations

Whom Shaomeng Wang trusts overall

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

1. Hans-Joachim Böhm
2. Renxiao Wang

Who trusts Shaomeng Wang overall

1. Pedro J. Ballester
2. Shengyou Huang
3. Pedro H. M. Torres
4. Elizabeth Yuriev
5. John B. O. Mitchell
6. Xiaoqin Zou
7. R. Quiroga
8. Zhong-Ru Xie
9. Kun-Yi Hsin
10. Sérgio Filipe Sousa

Papers from Shaomeng Wang's perspective

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

1. Molecular recognition of the inhibitor AG-1343 by HIV-1 protease: conformationally flexible docking by evolutionary programming.
2. Surfing the p53 network (Nature)
3. A fast flexible docking method using an incremental construction algorithm.
4. In Vivo Activation of the p53 Pathway by Small-Molecule Antagonists of MDM2 (Science)
5. Further development and validation of empirical scoring functions for structure-based binding affinity prediction
6. Temporal activation of p53 by a specific MDM2 inhibitor is selectively toxic to tumors and leads to complete tumor growth inhibition (Proceedings of the National Academy of Sciences of the United States of America)
7. Chalcones: an update on cytotoxic and chemoprotective properties. (Current Medicinal Chemistry)
8. Progress and challenges in protein structure prediction.
9. TM-align: a protein structure alignment algorithm based on the TM-score
10. The I-TASSER Suite: protein structure and function prediction

Their papers

• The PDBbind database: collection of binding affinities for protein-ligand complexes with known three-dimensional structures. (2004) — 1,058 citations
• Changing the Apoptosis Pathway through Evolutionary Protein Design (2019) — 21 citations
• The PDBbind database: methodologies and updates. (2005) — 893 citations
• Comparative evaluation of 11 scoring functions for molecular docking. (2003) — 851 citations
• Further development and validation of empirical scoring functions for structure-based binding affinity prediction (2002) — 1,084 citations
• Endocrine-therapy-resistant ESR1 variants revealed by genomic characterization of breast-cancer-derived xenografts. (2013) — 626 citations
• Small-Molecule Inhibitors of the MDM2-p53 Protein-Protein Interaction to Reactivate p53 Function: A Novel Approach for Cancer Therapy (2009) — 601 citations
• Structure-based design of potent non-peptide MDM2 inhibitors. (2005) — 616 citations
• Temporal activation of p53 by a specific MDM2 inhibitor is selectively toxic to tumors and leads to complete tumor growth inhibition (2008) — 654 citations
• Therapeutic Targeting of BET Bromodomain Proteins in Castration-Resistant Prostate Cancer (2014) — 897 citations
• M-score: a knowledge-based potential scoring function accounting for protein atom mobility. (2006) — 58 citations
• Structure-based design of spiro-oxindoles as potent, specific small-molecule inhibitors of the MDM2-p53 interaction. (2006) — 643 citations