This document discusses the process of cancer drug discovery and development from target identification to clinical trials. It begins with an overview of the hallmarks of cancer and current chemotherapeutic drugs. The drug discovery process is then outlined, including target identification and validation, hit to lead identification through screening, lead optimization, preclinical testing, IND application, and clinical trials through Phases I-III to evaluate safety, efficacy, and obtain approval. Natural products are highlighted as an abundant source of existing anticancer compounds.
Personalized medicine involves the prescription of specific therapeutics best suited for an individual based on their genetic or proteomic profile. This talk discusses current approaches in drug discovery/development, the role of genetics in drug metabolism, and lawful/ethical issues surrounding the deployment of new health technology. I highlight some bioinformatic roles in the drug discovery process, and discuss the use of semantic web technologies for data integration and knowledge discovery..
Personalized medicine involves the prescription of specific therapeutics best suited for an individual based on their genetic or proteomic profile. This talk discusses current approaches in drug discovery/development, the role of genetics in drug metabolism, and lawful/ethical issues surrounding the deployment of new health technology. I highlight some bioinformatic roles in the drug discovery process, and discuss the use of semantic web technologies for data integration and knowledge discovery..
iCAAD London 2019 - Antonio Metastasio - PERSONALISED MEDICINE IN THE TREATM...iCAADEvents
Personalised medicine is considered the next frontier of health care. The role of genetic testing in psychiatry and in addictions medicine, however, has been recently critically reviewed. Are genetic tests helpful in assessing and managing these conditions?
Pharmacogenomics is a new trending branch which has created enormous hopes in improving diagnostic methods, treatment outcomes and preventing adverse events and therapeutic failures. In this ppt basics of pharmacogenomics and pharmacogenetics has been discussed in simplest possible way along with two case studies. Clinical applications of pharmacogenomics has also been discussed in brief.
iCAAD London 2019 - Antonio Metastasio - PERSONALISED MEDICINE IN THE TREATM...iCAADEvents
Personalised medicine is considered the next frontier of health care. The role of genetic testing in psychiatry and in addictions medicine, however, has been recently critically reviewed. Are genetic tests helpful in assessing and managing these conditions?
Pharmacogenomics is a new trending branch which has created enormous hopes in improving diagnostic methods, treatment outcomes and preventing adverse events and therapeutic failures. In this ppt basics of pharmacogenomics and pharmacogenetics has been discussed in simplest possible way along with two case studies. Clinical applications of pharmacogenomics has also been discussed in brief.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
7. Target identification
What is a drug target?
A drug target is the specific binding site of a drug in vivo through which the drug exerts its
action
The drug target is a biomolecule(s)
It should have special sites were endogenous or exogenous (chemical molecules)
substances can bind
The biomolecular structure might change when small molecules bind to them
Change in the biomolecule’s structure should modulate various physiological
responses
The expression, activity, and structure of the biomolecule might change over the
duration of the pathological process
Characteristics
8. Established targets: are those for which there is a good scientific understanding,
supported by a lengthy publication history, of both how the target functions in
normal physiology and how it is involved in human pathology
New Target: are all those targets that are not "established targets" but which
have been or are the subject of drug discovery campaigns. These typically include
newly discovered proteins, or proteins whose function has now become clear as
a result of basic scientific research.
Selection of Target
9. Target validation
Animal model of disease
Expression
profile
Biomarker
Cell based disease model Pharmacological tool compounds
Functional analysis
Genetic
manipulation
Disease association genetics
Target
validation
methods
10. Hit to Lead Identification
Hit compounds has some structural activity relationship against the chosen
target, but not yet good enough to be the drug itself
High Throughput Screening- Selection of Lead molecules from Hits
Identify the “pharmacophore” directly responsible for activity and optimize
structure to improve interactions with target (Lead optimization)
Natural products Synthetic Chemistry Biologicals
Sources
13. Lead to candidate
Preclinical toxicity
Acute- single dose 14 days
Repeated-28 days
Repeated-90 days
Chronic toxicity-6 months
Developmental toxicity
F1 generation toxicity
F2 generation toxicity
Candidate Molecule
14. IND application and Initiation of Clinical Trial
FDA
Sponsor (e.g. Pharma, NIH, WHO, etc.)
Contract/Clinical Research Organization (CRO)
Medical
Director
Project
Manager
Clinical Research
Associate (CRA)
Regulatory
Personnel
Investigator
Sub-Investigator
IRB / IEC
Clinical Research Coordinator
Study Subjects (patients)
Investigators meeting
Informed consent
15. Clinical Trial
1-2 yrs
Hundreds-
thousands
Subjects with
indications
New indications,
QoL, surveillance
IV
2-3 yrs
Hundreds-
thousands
Subjects with
indications
Safety & efficacy
Basis for labeling,
new formulations
III
1-2 yrs
Several
hundred
Subjects with
indications
Short-term side
effects & efficacy
II
6-12 mos
20-80
Healthy
volunteers
Safety, ADME,
bioactivity,
drug-drug interaction
I
Length
(per
phase)
Scope
Subjects
Purpose
Phase
Drug
Molecule