Literature DB >> 28958951

In silico methods for design of biological therapeutics.

Ankit Roy1, Sanjana Nair1, Neeladri Sen1, Neelesh Soni1, M S Madhusudhan2.   

Abstract

It has been twenty years since the first rationally designed small molecule drug was introduced into the market. Since then, we have progressed from designing small molecules to designing biotherapeutics. This class of therapeutics includes designed proteins, peptides and nucleic acids that could more effectively combat drug resistance and even act in cases where the disease is caused because of a molecular deficiency. Computational methods are crucial in this design exercise and this review discusses the various elements of designing biotherapeutic proteins and peptides. Many of the techniques discussed here, such as the deterministic and stochastic design methods, are generally used in protein design. We have devoted special attention to the design of antibodies and vaccines. In addition to the methods for designing these molecules, we have included a comprehensive list of all biotherapeutics approved for clinical use. Also included is an overview of methods that predict the binding affinity, cell penetration ability, half-life, solubility, immunogenicity and toxicity of the designed therapeutics. Biotherapeutics are only going to grow in clinical importance and are set to herald a new generation of disease management and cure.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biotherapeutics; In silico engineering of antibodies and vaccines; Protein/peptide design

Mesh:

Substances:

Year:  2017        PMID: 28958951     DOI: 10.1016/j.ymeth.2017.09.008

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  10 in total

1.  AbRSA: A robust tool for antibody numbering.

Authors:  Lei Li; Shuang Chen; Zhichao Miao; Yang Liu; Xu Liu; Zhi-Xiong Xiao; Yang Cao
Journal:  Protein Sci       Date:  2019-05-11       Impact factor: 6.725

2.  Improving the Efficiency of Ligand-Binding Protein Design with Molecular Dynamics Simulations.

Authors:  Emilia P Barros; Jamie M Schiffer; Anastassia Vorobieva; Jiayi Dou; David Baker; Rommie E Amaro
Journal:  J Chem Theory Comput       Date:  2019-09-10       Impact factor: 6.006

Review 3.  Phage Display Libraries: From Binders to Targeted Drug Delivery and Human Therapeutics.

Authors:  Mouldy Sioud
Journal:  Mol Biotechnol       Date:  2019-04       Impact factor: 2.695

Review 4.  Residue-based pharmacophore approaches to study protein-protein interactions.

Authors:  Rojan Shrestha; Jorge Eduardo Fajardo; Andras Fiser
Journal:  Curr Opin Struct Biol       Date:  2021-01-22       Impact factor: 6.809

5.  Exploring antibody repurposing for COVID-19: beyond presumed roles of therapeutic antibodies.

Authors:  Puneet Rawat; Divya Sharma; Ambuj Srivastava; Vani Janakiraman; M Michael Gromiha
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

6.  Identifying the Epitope Regions of Therapeutic Antibodies Based on Structure Descriptors.

Authors: 
Journal:  Int J Mol Sci       Date:  2017-11-24       Impact factor: 5.923

Review 7.  Computer-aided design of amino acid-based therapeutics: a review.

Authors:  Tayebeh Farhadi; Seyed MohammadReza Hashemian
Journal:  Drug Des Devel Ther       Date:  2018-05-14       Impact factor: 4.162

Review 8.  Biotherapeutics: Challenges and Opportunities for Predictive Toxicology of Monoclonal Antibodies.

Authors:  Dale E Johnson
Journal:  Int J Mol Sci       Date:  2018-11-21       Impact factor: 5.923

9.  Experimentally guided computational antibody affinity maturation with de novo docking, modelling and rational design.

Authors:  Daniel A Cannon; Lu Shan; Qun Du; Lena Shirinian; Keith W Rickert; Kim L Rosenthal; Martin Korade; Lilian E van Vlerken-Ysla; Andrew Buchanan; Tristan J Vaughan; Melissa M Damschroder; Bojana Popovic
Journal:  PLoS Comput Biol       Date:  2019-05-01       Impact factor: 4.475

10.  Poly-Lysine Dendritic Nanocarrier to Target Epidermal Growth Factor Receptor Overexpressed Breast Cancer for Methotrexate Delivery.

Authors:  Pratibha Narayanan; Anju Krishnan Anitha; Neethu Ajayakumar; Kesavakurup Santhosh Kumar
Journal:  Materials (Basel)       Date:  2022-01-21       Impact factor: 3.623

  10 in total

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