Literature DB >> 24981090

Computational design of protein therapeutics.

Inseong Hwang1, Sheldon Park2.   

Abstract

Computation is increasingly used to guide protein therapeutic designs. Some of the potential applications for computational, structure-based protein design include antibody affinity maturation, modulation of protein-protein interaction, stability improvement and minimization of protein aggregation. The versatility of a computational approach is that different biophysical properties can be analyzed on a common framework. Developing a coherent strategy to address various protein engineering objectives will promote synergy and exploration. Advances in computational structural analysis will thus have a transformative impact on how protein therapeutics are engineered in the future.: © Published by Elsevier Ltd.

Entities:  

Year:  2008        PMID: 24981090     DOI: 10.1016/j.ddtec.2008.11.004

Source DB:  PubMed          Journal:  Drug Discov Today Technol        ISSN: 1740-6749


  5 in total

1.  High-Throughput Generation of In Silico Derived Synthetic Antibodies via One-step Enzymatic DNA Assembly of Fragments.

Authors:  Eugenio Gallo
Journal:  Mol Biotechnol       Date:  2020-02       Impact factor: 2.695

2.  The scoring of poses in protein-protein docking: current capabilities and future directions.

Authors:  Iain H Moal; Mieczyslaw Torchala; Paul A Bates; Juan Fernández-Recio
Journal:  BMC Bioinformatics       Date:  2013-10-01       Impact factor: 3.169

Review 3.  Immunogenicity of Biotherapeutics: Causes and Association with Posttranslational Modifications.

Authors:  Anshu Kuriakose; Narendra Chirmule; Pradip Nair
Journal:  J Immunol Res       Date:  2016-06-29       Impact factor: 4.818

4.  ProtDataTherm: A database for thermostability analysis and engineering of proteins.

Authors:  Hassan Pezeshgi Modarres; Mohammad R Mofrad; Amir Sanati-Nezhad
Journal:  PLoS One       Date:  2018-01-29       Impact factor: 3.240

5.  Characterization and In Silico Analysis of The Structural Features of G-CSF Derived from Lysates of Escherichia coli.

Authors:  S Harareh Peymanfar; Rasoul Roghanian; Kamran Ghaedi; Sayed-Hamid Zarkesh-Esfahani; Reza Yari
Journal:  Cell J       Date:  2019-07-29       Impact factor: 2.479

  5 in total

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