Hyunbum Jang
Molecular Biology · 2019–2022
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 56 citations into it
- Materials Chemistry — 28 citations into it
Whom Hyunbum Jang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Mohammed Alquraishi (in Molecular Biology)
Papers from Hyunbum Jang's perspective
Ordered by how strongly the researchers Hyunbum Jang trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Protein Structure with a Differentiable Simulator
- Intrinsically Disordered Proteins in Cellular Signaling and Regulation
- Evolutionarily conserved pathways of energetic connectivity in protein families.
- Principles that govern the folding of protein chains.
- Dynamical networks in tRNA:protein complexes (Proceedings of the National Academy of Sciences of the United States of America)
- The role of dynamics in allosteric regulation. (Current Opinion in Structural Biology)
- Design of Elastic Networks with Evolutionary Optimized Long-Range Communication as Mechanical Models of Allosteric Proteins
- The chemistry of Cas9 and its CRISPR colleagues
- Engineering an allosteric transcription factor to respond to new ligands
- Transition path sampling: throwing ropes over rough mountain passes, in the dark. (Annual review of physical chemistry (Print))
Their papers
- AlphaFold, Artificial Intelligence (AI), and Allostery (2022) — 142 citations
- Allostery in Its Many Disguises: From Theory to Applications (2019) — 322 citations