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Chemical Sciences in Early Drug Discovery
Medicinal Chemistry 2.0
Pierfausto Seneci
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- 194 pages
- English
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eBook - ePub
Chemical Sciences in Early Drug Discovery
Medicinal Chemistry 2.0
Pierfausto Seneci
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About This Book
Chemical Sciences in Early Drug Discovery: Medicinal Chemistry 2.0 describes how new technologies and approaches can be used to improve the probability of success in fulfilling the perennial goal of finding and developing new drugs. Drawing on the author's extensive experience consulting and teaching in medicinal chemistry, the book outlines ways in which medicinal chemistry is widening its reach to meet modern demands, and how modern technologies and approaches are facilitating this growth into new fields. Supported by examples throughout, the book is a practical resource for organic-medicinal chemists, biological chemists and pharmacologists involved in drug discovery.
- Reviews the key application of chemistry in drug discovery for both medicinal and non-medicinal chemists, clarifying and explaining the role of medicinal chemistry in supporting the modern drug discovery pipeline
- Shows how a wider medicinal chemistry view is essential for anyone in an integrated drug discovery project looking to reduce costs and save time
- Provides the critical success factors needed to successfully identify hits from both biological and chemical perspectives
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Topic
Sciences physiquesSubtopic
ChimieChapter 1
Step I: Target Identification
Abstract
The craving need for novel targets in drug discovery, as gateways toward the cure of poorly tractable and intractable diseases, is illustrated here. The first section covers biology-based target identification methods in drug discovery through the last few decades. It presents functional and positional cloning, massive DNA sequencing, systems biology, RNA interference, and CRISPR-Cas9 genome editing. The following section deals with chemistry in target identification. It underlines the role of chemical diversity in supporting the identification of therapeutic targets. It covers natural products as high content probes, target-based and phenotype-based screening, forward and reverse chemical genetics approaches using drug-like collections in target identification. The last section describes the discovery of monastrol and the identification of kinesin Eg5 as an example of successful chemistry-supported target identification.
Keywords
Cloning; Sequencing; Systems biology; RNA interference; CRISPR Cas9; Natural products; Compound collections; Chemical diversity; Chemical genetics; Monastrol; Kinesins
Molecular targets and their identification are the foundation of R&D pharmaceutical projects (step 1, Fig. 1.1). No matter what is done later, choosing a wrong target dooms any R&D project. Conversely, a disease-related target leadsâif properly characterized for its in vitro and in vivo physiological and pathological role, and modulated with drug-like biological or chemical entitiesâto therapeutically relevant outcomes.
The definition of âdruggable genomeâ dates back to 2002.1 If at least one gene family member interacts with one or more biological or chemical compounds, the whole gene family is druggable. A â 3000 druggable gene number was predicted.1 A similar size was estimated by large-scale gene knockout studies for disease-related, putative drug target genes,2 i.e., â 10% of the estimated 30K gene-sized human genome possessing putative disease-modifying features.3 The overlapping population of druggable, disease-related genes was then set between 600 and 1500 (Fig. 1.2, top).
Todayâs view on druggable genome and drug targets has changed. The size of the human genome is smaller (â 20â25K genes),4 but the recent modulation/âdruggabilityâ of therapeutically relevant protein-protein interactions5 and the success of biological drugs6 has increased the druggable genome size to â 5K genes. Reliable and efficient validation tools (see next chapter) have increased the number of disease-related molecular targetsâonce more, to â 5K targets. Thus, a larger set of overlapping druggable, disease-related targets existsâletâs say â„ 2K targets (Fig. 1.2, bottom). This size should further increase in future due to druggability- and target validation-related innovations.
An approved drug gives full confidence in its molecular target. A rigorous analysis7 identified 555 gene targets of past and present drugs. Drug candidates undergoing clinical trials inspire similar confidence for their targets. The same report7 listed 475 gene targets of clinically tested compounds (small molecules or biologicals).
Large pharmaceutical companies (âbig pharmasâ) usually work on âme tooâ candidates8 acting on market- or clinically validated targets. Their risk of failure is lower, while their market potentialâpowered by the marketing capacity of big pharmasâremains significant.
Even if each of the 475 targets in clinical validation would see the approval of one of its modulators as drugs, the 1030 validated targets would represent â 50% of druggable, disease-related genes. The identification and validation of the remaining targets will benefit from chemistry-based approaches and tools.
1.1 The Foundation: Molecular Biology, No Chemistry
Gene-encoded protein targets stem from the unraveling of DNA structure in 1953,9 of three RNA codons in 1962,10 and from DNA sequencing in 1977.11 Traditional medicine remedies,12 such as aspirin,13 were made available to patients much earlier. The molecular targets of most pre-Watson and Crick drugs were identified after their therapeutic application. Even today the lack of a mechanism of action (MoA) does not prevent the development of a drug, if potent and safe in humans.14 A known MoA, though, explains preclinical and clinical effects of drug candidates, and supports their postmarketing surveillance among patients.
A molecular target-driven working hypothesis is important to any pharma R&D project, even at the earliest stage. Sound assumptions in terms of target-related efficacy and safety increase the confidence (and possibly reduce the risk of failure) for their modulators.
Recombinant DNA15 and polymerase chain reaction (PCR)16 technologies allowed gene-driven target identification (TI). Initially, targets were identified through functional cloning17 (Fig. 1.3, left). Disease-related biochemical abnormalities of proteins prompted researchers to isolate and characterize the altered proteins. The structure of their encoding genes and their chromosomal location were determined. Sickle cell anemia and beta hemoglobin/HBB18 are examples of TI via functional cloning.
Later, positional cloning19 required the approximate chromosomal position of putative targets, identified by scanning up to 5 millions base pairs for disease-related mutations. Positional cloning-based TI relied upon chromosomal rearrangements (e.g., chronic myelogenous leukemia/CML-breakpoint cluster region-Abelson/BCR-ABL20), including extended trinucleotide repeats (e.g., Machado-Joseph disease/MJD-ataxin3/ATXN321) (Fig. 1.3, middle). Even without major DNA rearrangements, positional cloning (e.g., spinal muscular atrophy/SMA-survival motor neuron/SMN gene22), or a hybrid positional/functional approach18 (e.g., Marfan syndrome-fibrillin/FBN23) were successful in TI by mid-late '90s.
Technology improvements led to massive parallel DNA sequencing.24 Times-to-genomes were red...
Table of contents
Citation styles for Chemical Sciences in Early Drug Discovery
APA 6 Citation
Seneci, P. (2018). Chemical Sciences in Early Drug Discovery ([edition unavailable]). Elsevier Science. Retrieved from https://www.perlego.com/book/1832730/chemical-sciences-in-early-drug-discovery-medicinal-chemistry-20-pdf (Original work published 2018)
Chicago Citation
Seneci, Pierfausto. (2018) 2018. Chemical Sciences in Early Drug Discovery. [Edition unavailable]. Elsevier Science. https://www.perlego.com/book/1832730/chemical-sciences-in-early-drug-discovery-medicinal-chemistry-20-pdf.
Harvard Citation
Seneci, P. (2018) Chemical Sciences in Early Drug Discovery. [edition unavailable]. Elsevier Science. Available at: https://www.perlego.com/book/1832730/chemical-sciences-in-early-drug-discovery-medicinal-chemistry-20-pdf (Accessed: 15 October 2022).
MLA 7 Citation
Seneci, Pierfausto. Chemical Sciences in Early Drug Discovery. [edition unavailable]. Elsevier Science, 2018. Web. 15 Oct. 2022.