Debswapna Bhattacharya
Molecular Biology · 2015–2019
A researcher in the Science corpus: 6 papers; trusts 56 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 120 citations into it; #3,220 of 17,773 by trust here, #7,747 by citations
- Materials Chemistry — 88 citations into it; #2,902 of 11,513 by trust here, #7,007 by citations
- Computational Biology & Bioinformatics — 63 citations into it
- Spectroscopy — 13 citations into it
- Computational Theory and Mathematics — 11 citations into it; #9,389 of 12,182 by trust here, #7,851 by citations
- Evaluation & Benchmarks — 5 citations into it
Whom Debswapna Bhattacharya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yang Zhang
- W. Kabsch
- David T. Jones
- Jeffrey Skolnick
- Jianlin Cheng
- Dong Xu
- T. Kościółek
- John Moult
- Jesse Eickholt
- Bohdan Monastyrskyy
Who trusts Debswapna Bhattacharya overall
- Jianlin Cheng
- Badri Adhikari
- Sheng Wang
- Jie Hou
- Mohammed Alquraishi
- Riviera Maya
- Jinbo Xu
- Sankar Basu
- Michael Feig
- Renzhi Cao
Papers from Debswapna Bhattacharya's perspective
Ordered by how strongly the researchers Debswapna Bhattacharya trusts endorse each paper. Same corpus, a different order for every researcher.
- The Protein Data Bank.
- Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and Bayesian scoring functions.
- Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
- Protein secondary structure prediction based on position-specific scoring matrices.
- Basic local alignment search tool.
- Protein data bank
- A method to identify protein sequences that fold into a known three-dimensional structure.
- Scoring function for automated assessment of protein structure template quality
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Protein structure comparison by alignment of distance matrices.
Their papers
- CONFOLD: Residue-Residue Contact-guided ab initio Protein Folding (2015) — 147 citations
- Large-scale model quality assessment for improving protein tertiary structure prediction (2015) — 69 citations
- UniCon3D: de novo protein structure prediction using united-residue conformational search via stepwise, probabilistic sampling (2016) — 44 citations
- 3Drefine: an interactive web server for efficient protein structure refinement (2016) — 377 citations
- ConEVA: a toolbox for comprehensive assessment of protein contacts (2016) — 23 citations
- refineD: improved protein structure refinement using machine learning based restrained relaxation (2019) — 27 citations