Next-Generation Molecular Discovery: From Bottom-Up In Vivo and In Vitro Approaches to In Silico Top-Down Approaches for Therapeutics Neogenesis

• Published in: Life (Basel, Switzerland) Vol. 12; no. 3; p. 363
• Main Authors: Kenny, Sophie E, Antaw, Fiach, Locke, Warwick J, Howard, Christopher B, Korbie, Darren, Trau, Matt
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 02.03.2022; MDPI
• Subjects: Animals; Antibodies; antibody and peptide discovery; Antigens; Artificial intelligence; Big Data; Binding sites; Biological products; chemical libraries; Clinical trials; Coronaviruses; COVID-19; drug development; Drugs; high-throughput library screening; Immune system; Laboratories; Libraries; Machine learning; Medical research; Molecular interactions; Molecular structure; Pandemics; Patients; Protein engineering; Protein structure; Proteins; Review; Severe acute respiratory syndrome coronavirus 2; therapeutics; Venom; Viruses; Australia; therapeutics; high-throughput library screening; phage display; chemical libraries; drug development; antibody and peptide discovery; artificial intelligence; protein folding prediction

Protein and drug engineering comprises a major part of the medical and research industries, and yet approaches to discovering and understanding therapeutic molecular interactions in biological systems rely on trial and error. The general approach to molecular discovery involves screening large libra...