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Design of PPI Modulators for Anti-inflammation and Anti-infective Research May 2017.

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Presentation on theme: "Design of PPI Modulators for Anti-inflammation and Anti-infective Research May 2017."— Presentation transcript:

1 Design of PPI Modulators for Anti-inflammation and Anti-infective Research
May 2017

2 Overview Protein-protein interactions (PPIs) represent a vast class of therapeutic targets both inside and outside the cell Protein–protein interactions (PPIs) are involved in most cellular processes and influence biological functions - enzymatic activity, subcellular localization, and/or binding properties The human interactome has been estimated to cover ~400,000 protein–protein interactions High-resolution structures showed PPI interfaces are generally flat and large (roughly 1000–2000 A2 per side) and considered difficult to target Mutational analysis of protein interfaces showed that not all residues at the PPI interface were critical but rather small “hot spots” conferred most of the binding energy (Arkin and Wells, 2004; Clackson and Wells, 1995). Hot spots tended to cluster at the center of the interface, to cover an area comparable to the size of a small molecule, to be hydrophobic, and to show conformational adaptivity Modulation of PPIs provide a wealth of opportunities for therapeutic intervention in a broad range of disease conditions

3 Types of PPI by Interaction
Small interface and short peptide sequence for interaction Partner proteins with secondary structure binding to a hydrophobic groove Complex structure of interaction on both sides, multiple points of interaction PPI come in many shapes and sizes Most of the clinical-stage inhibitors target PPI primary interaction where the hot-spot residues are concentrated in small binding pockets (250 – 900 A2) and partner proteins are characterized by short primary sequences at the interface PPI that contain a single unit of secondary structure, such as an alpha helix, binding to a hydrophobic groove Globular interfaces, requiring tertiary structure on both sides of the PPI

4 Classification of PPI Modulators

5 Properties of the Known PPI Modulators (Examples)
Primary Epitope Secondary Epitope PPI Target/Partner Compound MW Oral BA LFA1/ICAM1 Lifitergrast 615 - cIAP/SMAC GDC-0152 499 GDC-0917/CUDC-427 565 + AT-406/SM-406 562 Birinapant 809 Bromodomain/histone (+)-JQ-1 457 i-BET762 424 RVX-208 370 nd Integrase/LEDGF BI224436 443 PPI Target/Partner Compound MW Oral BA BCL family/BH3 Navitoclax 975 + ABT-199 868 MDM2/p53 RG7112 728 RG7388 616 MI-888 548 PDK1/PIF-tide PS210 380 nd Menin/MML MIV-6R 418 MIV-2-2 416 P300 CH1 domain/HIF1  OHM 1 495 nd  Tertiary Epitope PPI Target/Partner Compound MW Oral BA IL-2/IL-2Ra SP4206 663 nd HPV11 E1/E2 BILH434 608 Historically, PPI inhibitors have been larger and more hydrophobic than typical orally available drugs PPI oriented libraries with improved properties may enhance hit rate and ensure success in transition from “ligandability” into “druggability”

6 Examples of Anti-inflammatory PPI Modulators
Structure of IL-2 (white surface) bound to SP4206 green sticks; PDB: 1PY2) SAR1118 (lifitegrast) inhibits binding of LFA1 (CD11a/CD18) to its ligand ICAM. The mechanism either involves binding directly to the ICAM site in the I domain of CD11a (Keating et al., 2006) or allosteric inhibition through binding to the I-like domain in CD18 (Shimaoka et al., 2003)

7 Examples of Anti-infective PPI Modulators
Structure of transactivation domain of E2 protein from HPV11 (white surface) bound to BILH 434 (green sticks; PDB: 1R6N) Crystal structure of the dimerization interface of HIV integrase (white and cyan surface) bound to compound 16 (green sticks; PDB: 4NYF) with overlaid epitope from LEDGF (magenta; PDB: 2B4J). Compound 16 is a precursor to the clinical compound BI

8 Commercial Libraries Targeted at PPIs*
Supplier No. of Compounds Design Method ChemDiv 125,000** β-turn-, helix-, 3D-, peptidomimetics, macrocycles, spiro compounds Otava Chemicals 1,330 decision trees 1,020 similarity search 520 β-turn mimetics Asinex 7,000 shape analysis ComInnex custom helix mimetics, macrocycles Life Chemicals 850 machine learning 23,200 2D fingerprint similarity 4,300 rule-of-four NQuix NA * - Huggins et al; Chem Biol Jun 18; 22(6): 689–703 Overcoming Chemical, Biological, and Computational Challenges in the Development of Inhibitors Targeting Protein-Protein Interactions ** - Library size as published

9 Structure of ChemDiv PPI Library
Total Library size – 210K compounds

10 Turn Mimetics and Approaches for Targeting

11 Scaffolds of Known b-Turn Mimetics (Examples)

12 Principles of b-Turn Mimetics Design* (Example)
* - Witby, L.R. ; Boger, D.L. Comprehensive Peptidomimetic Libraries Targeting Protein-Protein Interactions. Acc. Chem. Res. 2012, 45, 1698 – 1709

13 ChemDiv’s b-Turn Mimetics (Examples)

14 Helix Mimetics and Approaches for Targeting
α-Helices are common protein secondary structure elements Interacting residues occupy predominantly i, i+3 or i+4, and i+7 positions

15 Strategy for the Design of Helix Mimetics
mimicry of helix by polycyclic small molecule scaffolds mimicry of side-chain residues on one face of the α-helix three points of mimetics interaction with 7-ala helix at i, i+4 (or i+3) and i+7 positions possible H-bond, hydrophobic, electrostatic or π-π-interaction include hydrophilic and lipophilic regions in the scaffolds avoid polycyclic aromatics (as terphenils). High Fsp3 i i+4 i+7 Energy minimized poly- and 7-alanine α-helix displaying i, i + 4, and i + 7 positions

16 Examples of Known Helix Mimetics
Most of the known alpha-helix mimetics have sub-optimal physicochemical properties

17 New Scaffolds of α-Helix Mimetics
Over 200 scaffold templates have been developed

18 In-silico Design Validation
lipophilic ππ-interaction H-bond MW 373.5 ClogP 2.23 PSA 56.25 H-donor 1 H-acceptor 6 Rot bond 7 Fsp3,% 66.7 Dipole 3.76 Max distance, Å 15.38 ionic bond H-bonds ionic bond Energy minimized three-dimensional interaction with 7-ala (~100,000 iterations) Indicated directions show the favorable H-bond formation (distance ~ 2-3Å ) Intermolecular forces were taken into account

19 Macrocyclic as PPI Modulators

20 Spiro Compounds as PPI Scaffolds (Examples)

21 Peptidomimetics: PLG-Mimetics Design Example
Evolution modulator of the dopamine D2 receptor Core alignment: Green – starting PLG violet – plg-01 scaffold

22 Library Statistics Parameter Value Total Library Size 210,000
Number of Scaffolds 2,599 Number of Unique Heterocycles 960 Singletones 2,539 Diversity, compounds 0.8160 Library size, number of scaffolds and number of unique heterocycles are updated constantly due to development of novel approaches to the design and in-house novel chemistries research ChemDiv’s PPI Library is customizable for customer needs – screening throughput, specific interaction Compounds can be cherry picked Library will be formatted to customer specification – plates, racks, solutions, dry powder et cet Diversity is calculated by Tonimoto algorithm

23 ChemDiv’s PPI Library Physicochemical Properties
Molecular Weight Distribution

24 ChemDiv’s PPI Library Physicochemical Properties
Hydrogen Bond Acceptors Hydrogen Bond Donors Rotational Bonds N+O

25 ChemDiv’s PPI Library Physicochemical Properties
logP logD PSA

26 ChemDiv’s PPI Library Largest commercially available PPI library
Designed to cover most epitope, hot-spot interactions Unique chemistry – strong IP potential Customizable to customer needs Size Cherry-picking Format options Delivery options Expandable from stock and synthesis Attractively priced

27 Thank you!


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