Julia Salas CS379a 2-28-06. Aim of the Study To determine distinguishing features of orally administered drugs –Physical and structural features probed.

Slides:



Advertisements
Similar presentations
Case Study: Dopamine D 3 Receptor Anthagonists Chapter 3 – Molecular Modeling 1.
Advertisements

Modern Tools for Drug Discovery NIMBUS Biotechnology Modern Tools for Drug Discovery
Water as a Polar Molecule TAKS: Objective 4 TEKS: 8D.
Ionization and dissociation of drugs-1
Lipinski’s rule of five
…ask more of your data 1 Bayesian Learning Build a model which estimates the likelihood that a given data sample is from a "good" subset of a larger set.
Cheminformatics II Apr 2010 Postgrad course on Comp Chem Noel M. O’Boyle.
Drug Design Dr. Bilal Al-Jaidi.
© 2006 McGraw-Hill Higher Education. All rights reserved. Chapter 5 The Actions of Drugs.
Quantitative Structure-Activity Relationships (QSAR) Comparative Molecular Field Analysis (CoMFA) Gijs Schaftenaar.
Bioinformatics IV Quantitative Structure-Activity Relationships (QSAR) and Comparative Molecular Field Analysis (CoMFA) Martin Ott.
Organic Chemistry 4 th Edition Paula Yurkanis Bruice Irene Lee Case Western Reserve University Cleveland, OH ©2004, Prentice Hall Chapter 30 The Organic.
1111 Discovery Novel Allosteric Fragment Inhibitors of HIV-1 Reverse Transcriptase for HIV Prevention A/Prof Gilda Tachedjian Retroviral Biology and Antivirals.
Drug-Like Properties: Optimizing Pharmacokinetics and Safety During Drug Discovery Li Di and Edward H. Kerns ACS Short Course.
Bioinformatics Ayesha M. Khan Spring Phylogenetic software PHYLIP l 2.
Drug discovery and development
Drug Discovery and Development How are drugs discovered and developed?
Lecture 7: Computer aided drug design: Statistical approach. Lecture 7: Computer aided drug design: Statistical approach. Chen Yu Zong Department of Computational.
1. An Overview of the Data Analysis and Probability Standard for School Mathematics? 2.
Molecular Descriptors
Functional groups / Pharmacological Activity
Chapter 4, Section 2 Covalent Bonds
Structure-Activity-Relationships (SAR’s) Once a lead has been discovered, it is important to understand precisely which structural features are responsible.
CHEMISTRY. Composition of Matter Matter - Everything in universe is composed of matter Matter is anything that occupies space or has mass Mass – quantity.
Introduction to Chemoinformatics Irene Kouskoumvekaki Associate Professor December 12th, 2012 Biological Sequence Analysis course.
ADME And PHARMACOKINETICS.
David Kim Allergan Inc. SoCalBSI California State University, Los Angeles.
Functional groups / Pharmacological Activity
Concepts and Applications of Pharmacokinetics
Chapter 2 Chemical Principles part A. LIFE in term of biology Life fundamental feature: – Growth - through metabolism (catabolism and anabolism) - the.
Use of Machine Learning in Chemoinformatics Irene Kouskoumvekaki Associate Professor December 12th, 2012 Biological Sequence Analysis course.
Bioavailability Dr Mohammad Issa.
In silico discovery of inhibitors using structure-based approaches Jasmita Gill Structural and Computational Biology Group, ICGEB, New Delhi Nov 2005.
Ligand-based drug discovery No a priori knowledge of the receptor What information can we get from a few active compounds.
Transport across Membranes & Drug Absorption Dr. Naila Abrar.
Cohesion and Surface Tension. Cohesion Cohesion Molecules are attracted to other molecules of the same kind. ◦ For example, as you can see from the picture.
1 © Patrick An Introduction to Medicinal Chemistry 3/e Chapter 10 DRUG DESIGN: OPTIMIZING TARGET INTERACTIONS Part 2: Section 10.2.
Virtual Screening C371 Fall INTRODUCTION Virtual screening – Computational or in silico analog of biological screening –Score, rank, and/or filter.
Alessandro Pedretti MetaPies, an annotated database for metabolism analysis and prediction: results and future perspectives L’Aquila November 21, 2011.
Composition of Water Two Hydrogen atoms and One Oxygen atom Two Hydrogen atoms and One Oxygen atom The molecular formula for water is H 2 O. The molecular.
CHEE 4401 Definitions drug - any substance that affects the structure or functioning of an organism pharmaceutics - the area of study concerned with the.
Lipophilicity & Permeability 김연수. Chapter 5. Lipophilicity.
Introduction to Chemoinformatics and Drug Discovery Irene Kouskoumvekaki Associate Professor February 15 th, 2013.
Introduction to Organic Chemistry Section Organic Chemistry The chemistry of carbon compounds Not including metal carbonates and oxides Are varied.
Use of Machine Learning in Chemoinformatics
Background. For designing, discovering or developing a therapeutically relevant molecule, potency and selectivity to the target.
Part 2. Physicochemical Properties 1.Rules ( 양혜란 ) 2.Liphophilicity ( 백아름 ) 3.pKa ( 박숙진 ) 4.Solubility ( 전종수, 최영재 ) 5.Permeability ( 김소연, 강경태 )
Blood-Brain Barrier 강 경 태 Contents 1. BBB Fundamentals 2. Effects of Brain Penetration 3. Structure-BBB Penetration Relationships 4. Structure.
PHT 415 BASIC PHARMACOKINETICS
Computational Approach for Combinatorial Library Design Journal club-1 Sushil Kumar Singh IBAB, Bangalore.
Section 2.2 Properties of Water. Polar Molecules  molecules that have a slight positive region and a slight negative region Hydrogen Bond  an attraction.
Basic Concepts of Pharmacology © Paradigm Publishing, Inc.
Advantages of Good Drug-like Properties 손한표.
SMA5422: Special Topics in Biotechnology Lecture 11: Computer aided drug design: QSAR approach. SMA5422: Special Topics in Biotechnology Lecture 11: Computer.
Compartmental Models and Volume of Distribution
Lipinski’s rule of five
Physiology for Engineers
Chemistry 301 Q1 September 14, 2017: Agenda
Chapter 8 BIOAVAILABILITY & BIOEQUIVALENCE
Organic Chemistry Grade 12
Absorbtion of Bioactive Compounds
Water as a Polar Molecule
APPLICATIONS OF BIOINFORMATICS IN DRUG DISCOVERY
Acidity and basicity of Drugs Pharmaceutical Medicinal Chemistry-I
Physical Properties of Alkanes
Virtual Screening.
Rules for Rapid Property Profiling from Structure
Bradley Croy Doak, Bjӧrn Over, Fabrizio Giordanetto, Jan Kihlberg 
Insight into the Pharmaceutical Industry
Balancing Equations In Chemical Reactions.
Presentation transcript:

Julia Salas CS379a

Aim of the Study To determine distinguishing features of orally administered drugs –Physical and structural features probed Druglike: Molecules with desirable pharmacokinetic and pharmacodynamic (PK/PD) properties –Pharmacokinetics: Absorbtion, distribution, metabolism, and elimination (ADME) –Pharmacodynamics: Mechanism of drug action, dosage, mechanism, etc Pharmacodynamics is the study of what a drug does to the body, whereas pharmacokinetics is the study of what the body does to a drug

Compounds Surveyed Three sets of compounds used 1. Known drugs (“Marketed Drugs”): 1, with oral formulation (good PK/PD) 536 without oral formulation (poor PK/PD) –Injectable (308), topical (112), and absorbent (116) 2. Clinical candidates: 1, SAR compounds: 113,937 Biologically active but not druggable Molecular properties and structural fragments were analyzed

Methods: Structural Fragments Chemical Fragments & Molecular Slicer (MS) Tool to deconstruct molecules into scaffolds and side chain fragments Side Chain Fragment Scaffold Fragment

Methods: Physical Properties Molecular weight (MW) Atom count (NATOM) Calculated Log of octanol-water partition coefficient (CLOGP) –Tendency to prefer a non-aqueous or oily environment rather than water –(A measure of lipophilicity) Rotatable bonds (ROT) Rings (NRING) Nitrogens and oxygens (ONs) H-bond acceptors (ACC) H-bond donors (DON) Polar surface area (PSA) Surface area (SA) Halogens (halogen) What are the Most Relevant Druglike Properties?

Physical Properties: Determining Relevance Correlations observed for the 1,729 marketed drugs: PSA correlates with ON count, SA correlates with MW, NATOM correlates with MW, DON correlates with NHOH count Relevant: MW, ON, OHNH, ACC, NRING, ROT, HALOGEN, CLOGP

Physical Properties: Controlling for (Oral) Drug Approval Date Inflammation/Asthma Cardiovascular Central Nervous System Hormones Infectious Disease Metabolic Disease Although the nature and location of drug targets have changed, mean physical properties of the drugs have not

Oral Drugs vs. Nonoral Drugs: Physical Properties Trends agree with a previously published study

Injectables are more polar, heavier, and more flexible –Higher mean MW, ON, OHNH, NRING, ROT, H-bond acceptors and lower CLOGP and halogens Absorbents and Topicals are most similar to oral drugs –Absorbents have (slightly) lower CLOGP and (slightly) higher OHNH counts –Topicals have (slightly) different MW, NRINGS, halogens, CLOGP Oral Drugs vs. Nonoral Drugs: Physical Properties Property distribution means, medians, and p-values were calculated for the mean values of the oral drugs with the other groups

Common Fragments of Oral vs. Injectable Drugs Side Chains Several sidechains found in both groups The means of the 8 properties are similar Oral Injectable

Common Fragments of Oral vs. Injectable Drugs Scaffolds Injectables: More polar and flexible –ON count, ROT, CLOGP show same trends as whole molecule Oral Injectable

Conclusions Differences in physical properties lie in the scaffolds (not side chains) of molecules Oral drugs have lower MW, balanced CLOGP, and greater rigidity Knowledge of trends in scaffolds and physical properties may be applied to future searches for oral drug candidates “We cannot accurately classify a particular drug as either oral or injectable on the basis of simple physical property calculations”