Jing Tang

Molecular Biology · Journal of Chemical Information and Modeling · 2014–2022

A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Tang trusts overall

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

  1. Ralph Bock
  2. Amos Bairoch
  3. Tero Aittokallio
  4. Jens Carl Streibig
  5. Christian Ritz

Who trusts Jing Tang overall

  1. Hakime Öztürk
  2. Ingoo Lee
  3. Tong He
  4. Kexin Huang
  5. Aleksandr Ianevski
  6. Elif Ozkirimli Olmez
  7. Jongsoo Keum

Papers from Jing Tang's perspective

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

  1. The problem of synergism and antagonism of combined drugs.
  2. Prediction of drug–target interaction networks from the integration of chemical and genomic spaces (Intelligent Systems in Molecular Biology)
  3. MITOS: improved de novo metazoan mitochondrial genome annotation. (Molecular Phylogenetics and Evolution)
  4. GenomeVx: simple web-based creation of editable circular chromosome maps (Bioinform.)
  5. Systematic discovery of multicomponent therapeutics (Proceedings of the National Academy of Sciences of the United States of America)
  6. Theoretical Basis, Experimental Design, and Computerized Simulation of Synergism and Antagonism in Drug Combination Studies
  7. Gaussian interaction profile kernels for predicting drug-target interaction (Bioinform.)
  8. Plann: A command-line application for annotating plastome sequences (Applications in Plant Sciences)
  9. GeSeq – versatile and accurate annotation of organelle genomes (Nucleic Acids Res.)
  10. Drug combination studies and their synergy quantification using the Chou-Talalay method. (Cancer Research)

Their papers