Computational design of a protein-based enzyme inhibitor.

By E. Procko, Rickard Hedman, K. Hamilton, J. Seetharaman, Sarel Jacob Fleishman, M. Su, J. Aramini, G. Kornhaber, J. Hunt, L. Tong and 2 more. 2013

92 citations recorded by the source corpus.

Subfields: Molecular Biology, Radiology, Nuclear Medicine and Imaging

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Stanley Fields
2. Douglas M. Fowler
3. Jason J. Stephany
4. Sarel Jacob Fleishman
5. Gideon Lapidoth
6. I. Samish
7. Christoffer H Norn
8. G. Pszolla

In Radiology, Nuclear Medicine and Imaging

1. Stanley Fields
2. Sarel Jacob Fleishman
3. Jason J. Stephany
4. I. Samish
5. Gideon Lapidoth
6. Douglas M. Fowler

Citations in the corpus

• A rapid, efficient, and economical inverse polymerase chain reaction-based method for generating a site saturation mutant library. (2014, unknown): “The above libraries were generated using diverse techniques including polymerase chain reaction (PCR)-like linear amplification with partially overlapping primer [13,19] or a megaprimer-based approach [10,20] or by overlap extension PCR [5,16,18,21].”
• Sampling and energy evaluation challenges in ligand binding protein design (2017, unknown): “OHP9 single sitesaturation mutagenesis(SSM) library was generated using overlapping PCR method (Table S5).(28) Two combinatorial libraries were generated using oligo assembly methed with synthetic DNA oligos containing degenerate codons (Integrated DNA Technologies) (Table S6).”
• AbDesign: an algorithm for combinatorial backbone design guided by natural conformations and sequences (2015, background): “…priori docking software, such as PatchDock91 or RosettaDock,88 can be used to generate the initial bound conformations, as was done in binder design applications4–6; the AbDesign methodology can therefore be extended, in principle, to binder design in the absence of a known antibody-bound complex.”
• Achievements and Challenges in Computational Protein Design. (2017, background): “In 2013 Baker and colleagues applied CPD for the design of a de novo lysozyme inhibitor [109].”
• Measuring the activity of protein variants on a large scale using deep mutational scanning (2014, methodology): “For example, protein display has been used to conduct deep mutational scans of protein-peptide 4,8–11 , protein-protein 12–14 and protein-small molecule 15 interactions.”
• Protein Engineering by Combined Computational and In Vitro Evolution Approaches. (2016, methodology): “[47] used two approaches to design an NBD to hen egg lysozyme.”