A. Bax
Molecular Biology · 1995–2016
A researcher in the Science corpus: 13 papers; trusts 24 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 51 citations into it; #1,267 of 17,773 by trust here, #3,636 by citations
- Materials Chemistry — 39 citations into it; #746 of 11,513 by trust here, #3,712 by citations
- Computational Biology & Bioinformatics — 25 citations into it
- Spectroscopy — 20 citations into it; #338 of 1,674 by trust here, #472 by citations
Whom A. Bax trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David C. Jones
- Yang Shen
- W. Kabsch
- Burkhard Rost
- Maxim V. Shapovalov
- Christopher Sander
- Torsten Herrmann
- Carol A. Rohl
- Martin Ester
- Roland L. Dunbrack
Who trusts A. Bax overall
- Santrupti Nerli
- Woonghee Lee
- Yang Shen
- Nikolaos G. Sgourakis
- John L. Markley
- Andrew C. McShan
- Ivan V. Anishchenko
- Yuefeng Tang
- Yuanpeng Janet Huang
- Alexander E. Conicella
Papers from A. Bax's perspective
Ordered by how strongly the researchers A. Bax trusts endorse each paper. Same corpus, a different order for every researcher.
- Prediction of protein secondary structure at better than 70% accuracy.
- Protein data bank
- Toward High-Resolution de Novo Structure Prediction for Small Proteins
- Consistent blind protein structure generation from NMR chemical shift data
- Native protein sequences are close to optimal for their structures.
- Protein Structure Prediction Using Rosetta
- AQUA and PROCHECK-NMR: Programs for checking the quality of protein structures solved by NMR
- Protein Structure Determination Using Molecular Fragment Replacement and NMR Dipolar Couplings
- De novo protein structure determination using sparse NMR data
- The Xplor-NIH NMR molecular structure determination package.
Their papers
- Consistent blind protein structure generation from NMR chemical shift data (2008) — 838 citations
- Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks (2013) — 1,083 citations
- Refined solution structure of the 82-kDa enzyme malate synthase G from joint NMR and synchrotron SAXS restraints (2008) — 113 citations
- Determination of the Structures of Symmetric Protein Oligomers from NMR Chemical Shifts and Residual Dipolar Couplings (2011) — 66 citations
- TALOS+: A hybrid method for predicting protein backbone torsion angles from NMR chemical shifts (2009) — 2,596 citations
- Protein Structural Information Derived from NMR Chemical Shift with the Neural Network Program TALOS-N (2015) — 245 citations
- SPARTA+: a modest improvement in empirical NMR chemical shift prediction by means of an artificial neural network (2010) — 545 citations
- Sparse multidimensional iterative lineshape-enhanced (SMILE) reconstruction of both non-uniformly sampled and conventional NMR data (2016) — 299 citations
- The structure of mouse cytomegalovirus m04 protein determined from sparse NMR data reveals a new fold of the m02-m06 family of viral immune modulators (2014) — 24 citations
- Structure and Dynamics of Micelle-bound Human α-Synuclein* (2005) — 682 citations
- The NMR Structure of a DNA Dodecamer in an Aqueous Dilute Liquid Crystalline Phase (2000) — 156 citations
- Measurement of J and dipolar couplings from simplified two-dimensional NMR spectra. (1998)
- NMRPipe: A multidimensional spectral processing system based on UNIX pipes (1995)