Enabling HTS Hit follow up via Chemo informatics, File Enrichment, and Outsourcing

100 %
0 %
Information about Enabling HTS Hit follow up via Chemo informatics, File Enrichment, and...
Career

Published on February 5, 2009

Author: Smith_gf

Source: slideshare.net

Description

Enabling HTS Hit follow up via Chemo informatics, File Enrichment, and Outsourcing The history of parallel chemistry for lead discovery at Pfizer Sandwich from begining to outsourcing

Enabling HTS Hit follow up via Chemo informatics, File Enrichment, and Outsourcing Graham F Smith Sandwich Chemistry Pfizer Global Research and Development

Overview Enabled Hit Follow Up & Productive lead Discovery File Enrichment Chemo informatics High Throughput Chemistry HTS

Presentation Overview HTS at Pfizer 10 years ago File Enrichment Chemo-informatics Outsourcing hit follow up HTS at Pfizer now.

HTS at Pfizer 10 years ago

File Enrichment

Chemo-informatics

Outsourcing hit follow up

HTS at Pfizer now.

HTS at Pfizer 10 years ago A 500,000 screening file Of mixed quality and purity Early days of parallel chemistry and automation in chemistry and purification Synthesis capacity > purification capacity > chemo informatics ability Typical HTS gave 10% of lead matter being parallel chemistry friendly Crude informatics tools for HTS follow up Mostly Excel The parallel chemistry friendly hits given more effort and therefore typically start more projects Singleton hits - higher chemistry cost and risk Parallel chemistry hits already have SAR, starting materials and high speed method

A 500,000 screening file

Of mixed quality and purity

Early days of parallel chemistry and automation in chemistry and purification

Synthesis capacity > purification capacity > chemo informatics ability

Typical HTS gave 10% of lead matter being parallel chemistry friendly

Crude informatics tools for HTS follow up

Mostly Excel

The parallel chemistry friendly hits given more effort and therefore typically start more projects

Singleton hits - higher chemistry cost and risk

Parallel chemistry hits already have SAR, starting materials and high speed method

File Enrichment – our early thoughts Drug discovery fails more often than it succeeds Some very difficult drug targets Fewer targets than before Some targets in the past, the industry has succeeded but Pfizer hasn’t One possible cause Industry file said to be approx 3,000,000 in 1999 Pfizer’s was approx 500,000 Narrow range of structural types George M Milne Jr (Pfizer), Annual Reports in Medicinal Chemistry, 2003, 38, 383-396

Drug discovery fails more often than it succeeds

Some very difficult drug targets

Fewer targets than before

Some targets in the past, the industry has succeeded but Pfizer hasn’t

One possible cause

Industry file said to be approx 3,000,000 in 1999

Pfizer’s was approx 500,000

Narrow range of structural types

rationale for file enrichment 70% of PGRD project leads originate as HTS hits Quality of drug candidate is reflected in quality of the lead matter One significant source of Discovery and Development attrition is chemical in nature Screening file attributes will drive downstream processes, efficiency and overall success in Medicinal Chemistry Taking attrition early is good BUT suffering attrition on approaches early can be costly, Therefore having more series options critical Testing the mechanism is the key Gunther Wess (Aventis), Drug Discovery Today, 7 (10), 2002, 533-535.

70% of PGRD project leads originate as HTS hits

Quality of drug candidate is reflected in quality of the lead matter

One significant source of Discovery and Development attrition is chemical in nature

Screening file attributes will drive downstream processes, efficiency and overall success in Medicinal Chemistry

Taking attrition early is good BUT suffering attrition on approaches early can be costly,

Therefore having more series options critical

Testing the mechanism is the key

file enrichment strategy: consider attrition from outset We know what chemotypes are more likely to fail in development We know clinical candidates are similar to leads Build this knowledge into library design make and screen drug-like or lead-like compounds hit lead candidate drug

We know what chemotypes are more likely to fail in development

We know clinical candidates are similar to leads

Build this knowledge into library design

make and screen drug-like or lead-like compounds

Beautiful compound concept parallel chemistry no toxicophores rule of 5 compliant pure and stable Pfizer exclusive Lipinski, C.A. Chris Lipinski Discusses Life and Chemistry after the Rule of Five. Drug Discovery Today 2003 , 8 , 12-16.

File Enrichment Initiative Aim to make a 3,000,000 compound pure compound file by compound design and acquisition Hits enabled by having established parallel chemistry protocols The largest screening file of any pharmaceutical company More hits on difficult targets – better choices on easier targets Faster / cheaper lead discovery in Pfizer enabled for the long term

Aim to make a 3,000,000 compound pure compound file by compound design and acquisition

Hits enabled by having established parallel chemistry protocols

The largest screening file of any pharmaceutical company

More hits on difficult targets – better choices on easier targets

Faster / cheaper lead discovery in Pfizer enabled for the long term

File Enrichment 1 – “the big four” Neurogen Informatics based design and synthesis technology Predicts the next // chemistry compound to make ArQule Broad experience of high throughput parallel chemistry Delivering ~500,000 compounds and associated protocols Evotec Ultra High Throughput Screening uHTS Aurora Ultra High Throughput Screening uHTS

Neurogen

Informatics based design and synthesis technology

Predicts the next // chemistry compound to make

ArQule

Broad experience of high throughput parallel chemistry

Delivering ~500,000 compounds and associated protocols

Evotec

Ultra High Throughput Screening uHTS

Aurora

Ultra High Throughput Screening uHTS

The Evotec ultra high throughput screening system Capacity to analyse >100,000 compounds per day Assay volume of 1  l - saving in reagent and compound usage 2080 wells on a single assay plate

Capacity to analyse >100,000 compounds per day

Assay volume of 1  l - saving in reagent and compound usage

2080 wells on a single assay plate

File Enrichment 2002-2006 ArQule 800,000 Developing ~200 new chemistry protocols Tripos 440,000 compounds 12,000 privileged monomers Chembridge 500,000 compounds 4,000 privileged monomers Chem RX (Discovery partners ) 500,000 compounds Evotec Technology Developed in collaboration Created uHTS centres of emphasis 1 mergers and 1 acquisition with associated legacy compound file acquisition Warner Lambert Pharmacia Alan Procter (Pfizer), Drug Discovery and Development, December, 2003 See various collaboration press releases ~$1 Billion FE investment

ArQule

800,000

Developing ~200 new chemistry protocols

Tripos

440,000 compounds

12,000 privileged monomers

Chembridge

500,000 compounds

4,000 privileged monomers

Chem RX (Discovery partners )

500,000 compounds

Evotec Technology

Developed in collaboration

Created uHTS centres of emphasis

1 mergers and 1 acquisition with associated legacy compound file acquisition

Warner Lambert

Pharmacia

File Enrichment – managing diversity La Jolla Groton Ann Arbor Sandwich Generation of ideas for library protocols Global Ideas overlap resolution La Jolla Groton Ann Arbor Sandwich Prioritization of ideas for development Library chemistry development Library idea Management Tool La Jolla Library production and purification

Enhancing Chemo-informatics Enable designs Monomers Protocols Chemical Knowledge Enumeration Filtering Prioritise lead series Share Designs Visualise large libraries Use common desktop tools which aid collaboration

Enable designs

Monomers

Protocols

Chemical Knowledge

Enumeration

Filtering

Prioritise lead series

Share Designs

Visualise large libraries

Use common desktop tools which aid collaboration

The Pfizer Global Virtual Library - PGVL All resources connected in one application All Pfizer Monomers stored in one location All Pfizer // synthesis reactions and protocols Stored in one location With enumeration and structure checking With knowledge of prior parallel chemistry reactions All Pfizer in silico properties available Filtering, clustering tools and visualisation All parallel chemistry HTS Hit Follow up work comes from within this tool A research sharing and visualisation tool Links to Excel, Spotfire etc. Enables choice from ~10,000,000,000,000 potential products This virtual space grows with each new chemistry protocol and monomer discovered PGVL ~ (PGRL) 2

All resources connected in one application

All Pfizer Monomers stored in one location

All Pfizer // synthesis reactions and protocols

Stored in one location

With enumeration and structure checking

With knowledge of prior parallel chemistry reactions

All Pfizer in silico properties available

Filtering, clustering tools and visualisation

All parallel chemistry HTS Hit Follow up work comes from within this tool

A research sharing and visualisation tool

Links to Excel, Spotfire etc.

Enables choice from ~10,000,000,000,000 potential products

This virtual space grows with each new chemistry protocol and monomer discovered

PGVL ~ (PGRL) 2

HTS Hit triage protocol – Pipeline Pilot Raw data Compound Name % inhibition Structures Physical properties (Mw, clogP, etc) Potential false positives/negatives (Bayesian statistics) Library protocol if any Custom substructures (known series etc) Clustering of actives by Murcko frame Known aggregators, reactive groups Ligand efficiency M Murcko (Vertex), J. Med. Chem. 1999, 42, 5095-5099 A L Hopkins (Pfizer), Drug Discovery Today. 2004 May 15;9(10):430-1

Compound Name

% inhibition

Structures

Physical properties (Mw, clogP, etc)

Potential false positives/negatives

(Bayesian statistics)

Library protocol if any

Custom substructures (known series etc)

Clustering of actives by Murcko frame

Known aggregators, reactive groups

Ligand efficiency

Pipeline Pilot tree HTS Actives HTS Hits

HTS library output multiple lead options for most targets

Global Protocol database intranet access All Parallel Chemistry searchable in one place All 9 PGRD site use this tool All File enrichment research captured in the global database A link from compound to parallel synthesis protocol

Architecture based on Formal Reactions Protocols are associated into Formal Reactions VRXN-2-00001 Reductive amination as a family of protocols aldehydes nucleophilic amines Two protocols of broadest scope cover the largest range of potential ---- thus potential for re-use: Capturing these is what really builds the asset in global Chemical Knowledge Bases VRXN-2-00001 is defined by the Formal Reaction scheme and spans the space covered by all suitable amines & aldehydes in the linked inventory db

Formal Reactions as Families of Protocols 21 VRXN-3-00029 4 VRXN-3-00007 2 VRXN-2-00081 3 VRXN-2-00018 7 VRXN-2-00017 9 VRXN-2-00016 8 VRXN-2-00013 15 VRXN-2-00011 39 VRXN-2-00010 12 VRXN-2-00009 9 VRXN-2-00007 16 VRXN-2-00005 4 VRXN-2-00004 11 VRXN-2-00002 13 VRXN-2-00001 Source (each color represents one of the Pfizer R&D sites) # of explicit protocols within reaction family Name of Formal Reaction (broad scope rxns)

Chemist’s Desktop Access to 543 (and growing) Formal Reactions Scope & Limitations for the thousands of Protocols under those Formal Reactions is scientific basis for Round-the-clock automated monomer mining PGVL server-side automated search engine system uses thousands of stored query components running on Pipeline Pilot Linked to global inventory Search engine defines the precise VL for each protocol and (by concatenation) the overall VL for each Formal Reaction PGVL exceeds 10 trillion compounds 10 13 + PGVL Hub, an internally developed application

Access to 543 (and growing) Formal Reactions

Scope & Limitations for the thousands of Protocols under those Formal Reactions is scientific basis for

Round-the-clock automated monomer mining

PGVL server-side automated search engine system uses thousands of stored query components running on Pipeline Pilot

Linked to global inventory

Search engine defines the precise VL for each protocol and (by concatenation) the overall VL for each Formal Reaction

PGVL exceeds 10 trillion compounds 10 13 +

PGVL Hub on the Chemist’s Desktop

Access to virtual libraries from the desktop Suitable monomers retrieved for each reaction protocol Properties calculated Inventory and location searched Clustering and filtering pre and post enumeration

Spotfire Design analysis

Hit Follow Up (2006…) A strategic modification of File Enrichment contracts Hit Follow-up – (HF) Med Chem Support Emphasis on Pfizer design Pfizer monomers and protocols Custom synthesis of key monomers and templates Development and optimisation of // chemistry Fast turnaround a contractual priority Compound supplied enough for project screening and Pfizer global HTS activities Supported by local Pfizer Parallel Chemistry Core expertise

A strategic modification of File Enrichment contracts

Hit Follow-up – (HF)

Med Chem Support

Emphasis on Pfizer design

Pfizer monomers and protocols

Custom synthesis of key monomers and templates

Development and optimisation of // chemistry

Fast turnaround a contractual priority

Compound supplied enough for project screening and Pfizer global HTS activities

Supported by local Pfizer Parallel Chemistry

Core expertise

HTS at Pfizer now uHTS capacity with Evotec and other platforms Automated triage process based on Clustering of actives and analysis of near neighbours Hot monomer analysis Parallel chemistry protocols In Silico predicted physicochemical and ADME properties Several libraries initiated on priority series Several series / chemotypes progressed to reduce risk of project attrition Monomer and template synthesis initiated where needed Protocol development where needed

uHTS capacity with Evotec and other platforms

Automated triage process based on

Clustering of actives and analysis of near neighbours

Hot monomer analysis

Parallel chemistry protocols

In Silico predicted physicochemical and ADME properties

Several libraries initiated on priority series

Several series / chemotypes progressed to reduce risk of project attrition

Monomer and template synthesis initiated where needed

Protocol development where needed

HTS at Pfizer now – cont. Iterations of library design are synthesised to address series issues versus project criteria Designs include global and project specific in silico models

Iterations of library design are synthesised to address series issues versus project criteria

Designs include global and project specific in silico models

Measures of success: Sandwich 96% of projects using parallel synthesis 138 libraries of >96 compounds each across the Sandwich discovery portfolio in 2003 Can identify multiple series to pursue from most HTS Several leads from HTS & parallel synthesis currently in lead to CAN phase and early development 33% of clinical candidates resulted from FE enabled hits applying multiple libraries (including structure based drug design) & traditional medicinal chemistry synthesis

96% of projects using parallel synthesis

138 libraries of >96 compounds each across the Sandwich discovery portfolio in 2003

Can identify multiple series to pursue from most HTS

Several leads from HTS & parallel synthesis currently in lead to CAN phase and early development

33% of clinical candidates resulted from FE enabled hits

applying multiple libraries (including structure based drug design) & traditional medicinal chemistry synthesis

IKK2 inhibitors from HTS to multiple leads Weak HTS hits from early FE library 2 active custom templates 5.6 billion potential analogues 4880 inactives in RL 6 rounds of library synthesis Potent IKK2 inhibition in acidic, basic and neutral series found

Weak HTS hits from early FE library

2 active custom templates

5.6 billion potential analogues

4880 inactives in RL

6 rounds of library synthesis

Potent IKK2 inhibition in acidic, basic and neutral series found

Crystal Structure of UK-411,930 bound to CDK2 - SBLD 2.3A resolution data SRS, Daresbury. Key pyrazole Donor Acceptor Donor interaction

Overview of Closed-loops for IKK Activity goes up with library iteration Number of actives increases with library iteration 0 10 20 30 40 50 60 0 1 2 3 4 5&6 Closed-loop iteration % of compounds active at 10  M 1 10 100 1000 10000 activity of most potent compound (nM)

novel low MWt PDE-5 inhibitors from closed loop chemistry on HTS hits Closed loop (CL) involves iterative design, synthesis, purification, sample logistics and screening loops Combining singleton and exploratory library synthesis demonstrated that series was not flawed Closed-loop synthesis identified 2-aminopyridine as novel PDE5 pharmacophore 2 closed loops from CP-X (HTS hit) eliminated toxicophore, reduced MWt by over 200 Da, raised ligand efficiency, good selectivity over 1, 9 and 6 found 5 other active templates in addition to UK-C Aim: novel potent, selective, low clogP templates for o.d. PDE-5 i

Closed loop (CL) involves iterative design, synthesis, purification, sample logistics and screening loops

Combining singleton and exploratory library synthesis demonstrated that series was not flawed

Closed-loop synthesis identified 2-aminopyridine as novel PDE5 pharmacophore

2 closed loops from CP-X (HTS hit)

eliminated toxicophore, reduced MWt by over 200 Da, raised ligand efficiency, good selectivity over 1, 9 and 6

found 5 other active templates in addition to UK-C

Aim: novel potent, selective, low clogP templates for o.d. PDE-5 i

Structure Based Library Design Templates Favoured monomers e.g. 2-aminopyridines Pendant ionisable centre for solubility and SAR probe Library design incorporated the positive structural filters Negative filters of cLogP of 4 and MW of 400 were applied 264/576 targeted compounds made.

Library design incorporated the positive structural filters

Negative filters of cLogP of 4 and MW of 400 were applied

264/576 targeted compounds made.

PDE5 Library lead: UK-469,413 12-24 hours 18, ER<1 1.9, 3.3 367 32v6, 5v10, 5v11 71nM UK-469413 >12 hours Pred. Hu T1/2 >10, ER<1 Caco abs. 1-2, <3 LogD, LogP <400 MWt >10x vs PDE’s Selectivity  50nM PDE5 IC50 Lead Target Criteria

PDE5 2 nd generation series UK-469,413 Gln775 close to C7- aminopyridine methyl Gln817 H- bonds to C7- aminopyridine Mike Palmer et al , Current Topics in Medicinal Chemistry, 2006, in press.

Gln775 close to C7- aminopyridine methyl

Profiles of selective PDE5 leads Criteria PDE5 IC50 PDE6 Sel. PDE11 Caco2 TPSA N,O count Lead 2 0.80nM 42x 10x 18, ER 1 93 9 Lead 3 0.50nM 104x 160x 2, ER>10 122 11 Great pharmacology, but… efflux problems.

Oxytocin hit–to-lead chemistry HTS hits from FE project Open ring by product of Ugi Benzdiazepinedione library 2-Aminonicotinic acids yield non-cyclised materials Library synthesis yielded 284 compounds Most potent compounds confirmed as functional antagonists Keating, T.A. & Armstrong, R.W. (1995) &quot;Molecular diversity via a convertible isocyanide in the Ugi four-component condensation,&quot; J. Am. Chem. Soc. 117 : 7842-7843

HTS hits from FE project

Open ring by product of Ugi Benzdiazepinedione library

2-Aminonicotinic acids yield non-cyclised materials

Library synthesis yielded 284 compounds

Most potent compounds confirmed as functional antagonists

Resolution of Oxytocin library actives Resolution of library actives provided compounds meeting the target potency and selectivity criteria Series accepted as leads for further development.

Resolution of library actives provided compounds meeting the target potency and selectivity criteria

Series accepted as leads for further development.

Long Acting Beta 2 agonists Beta2 0.74 nM EC50 HTS hit Parallel synthesis friendly project strategy Enabled rapid progress of the project Partnering TA with PMC group Protected head groups Optimised for potency and duration Salmeterol like potency and DOA found Exciting potential for long DOA in humans

Beta2 0.74 nM EC50 HTS hit

Parallel synthesis friendly project strategy

Enabled rapid progress of the project

Partnering TA with PMC group

Protected head groups

Optimised for potency and duration

Salmeterol like potency and DOA found

Exciting potential for long DOA in humans

mGluR1 antagonist A number of weak and simple HTS hits identified Both side of amide were optimised to give some potent amide analogues Amides were high logD and high CL Chose to diversify chemistry into PGVL space 6000 FE analogues were available for screening The available VL was still huge 4.2 Billion products

A number of weak and simple HTS hits identified

Both side of amide were optimised to give some potent amide analogues

Amides were high logD and high CL

Chose to diversify chemistry into PGVL space

6000 FE analogues were available for screening

The available VL was still huge

4.2 Billion products

mGluR1 Leads optimised within PGVL Within a larger VL the logD and Cl properties could be better optimised Several 1000s of analogues were easily made in the program Progress was rapid and used outsourcing Compounds with good potency and low Cl were obtained Project identified tools for further development Dafydd Owen* et al , Bioorganic Medicinal Chemistry Letter, 2006 In Press.

Within a larger VL the logD and Cl properties could be better optimised

Several 1000s of analogues were easily made in the program

Progress was rapid and used outsourcing

Compounds with good potency and low Cl were obtained

Project identified tools for further development

Maraviroc - Faster to CAN with parallel synthesis UK-107,543 (HTS hit) 400 nM CCR5 blocker no antiviral activity CYP450 inhibitor UK-427,857 antiviral IC 90 1 nM selective no CYP450 inhibition jun00 dec97 965 analogues Dorr et al , Antimicrob Agents Chemother ., 2005 , 49 , 11 Armour & Wood, Progress in Medicinal Chemistry , 2005 , 43 , 239 WO2003084954

CCR5 antagonist - Maraviroc Most final products made by HSA Maraviroc first made in a filter tube with solid phase reagent Blood rotator used for agitation Crude products purified by prep HPLC

Most final products made by HSA

Maraviroc first made in a filter tube with solid phase reagent

Blood rotator used for agitation

Crude products purified by prep HPLC

NEP Parallel Chemistry Strategy Initially retain a small R1(S1‘) based on known Candoxatrilat SAR start with nPr, for expediency and start racemic Rapid exploration of R2 using parallel chemistry diverse set of amines based on Desired drug properties As SAR emerges, incorporate chiral and diverse R1 S1'

Initially retain a small R1(S1‘) based on known Candoxatrilat SAR

start with nPr, for expediency and start racemic

Rapid exploration of R2 using parallel chemistry

diverse set of amines based on Desired drug properties

As SAR emerges, incorporate chiral and diverse R1 S1'

NEP inhibitor SAR Successful and rapid SAR exploration UK-447,841 discovered Short half life prn dose regimen required T1/2 7-10h High absorption (F) David C. Pryde et al , J. Med. Chem. 2005 WO2002002513 R2 dNEP (nM) MWt. LogD Caco-2 24 339 0.5 9/14 R1 6 393 -0.2 - 100 375 1.0 6/10 n Pr Me (CH 2 ) 2 OMe (CH 2 ) 2 OMe (CH 2 ) 2 OMe (CH 2 ) 2 OMe 4 333 0.8 21/21 3 379 0.5 12/17 0.5 396 1.0 12/14

Successful and rapid SAR exploration

UK-447,841 discovered

Short half life prn dose regimen required T1/2 7-10h

High absorption (F)

Overview Enabled Hit Follow Up & Productive lead Discovery File Enrichment Chemo informatics High Throughput Chemistry HTS

Conclusions HTS hit follow up is supported by huge global resources FE created a 3MM compound pure parallel chemistry rich file Global Chemo informatics resources able to quickly mine 1 trillion potential molecules Contract research to support early stage lead optimisation and SAR generation

HTS hit follow up is supported by huge global resources

FE created a 3MM compound pure parallel chemistry rich file

Global Chemo informatics resources able to quickly mine 1 trillion potential molecules

Contract research to support early stage lead optimisation and SAR generation

Acknowledgements Everyone!

Everyone!

Additional Slides Pfizer Overview Industry pressures

Pfizer Overview

Industry pressures

Pfizer Overview World’s leading healthcare company Biggest investor in R&D worldwide 2004 R&D investment: $7.5 billion The largest foreign owned R&D investor in the UK 122,000 employees across 60 sites in 31 countries sales in over 150 countries: 12,000 R&D employees worldwide 2,700 people in R&D in UK 6900 Pfizer UK employees Biggest supplier of medicines to the NHS

World’s leading healthcare company

Biggest investor in R&D worldwide

2004 R&D investment: $7.5 billion

The largest foreign owned R&D investor in the UK

122,000 employees across 60 sites in 31 countries

sales in over 150 countries:

12,000 R&D employees worldwide

2,700 people in R&D in UK

6900 Pfizer UK employees

Biggest supplier of medicines to the NHS

 

INDUSTRY AVERAGES: 100 Screens Produce 12 Candidates 1 in 12 survival rate during development Only 1 of 4 products shows significant profit 12 years from idea to market 12-13 years of market exclusivity Up to $800 million investment per product Pre-Clin Phase I Phase II Phase III Registration MARKET Animal Toxicity, Chemical Stability, Superior Compound Human PK, Toleration, Formulation Efficacy, Safety Differentiation , Dose Long-term Safety Approval?

INDUSTRY AVERAGES:

100 Screens Produce 12 Candidates

1 in 12 survival rate during development

Only 1 of 4 products shows significant profit

12 years from idea to market

12-13 years of market exclusivity

Up to $800 million investment per product

The Attrition Curve 1 2 3 4 5 >12 years 60% 25% Ideas  Leads  Dev. Candidates  PhIIa Clin.  Products 25% 100 Projects 1 Product % Projects 25%

Add a comment

Related presentations

Related pages

Enabling HTS Hit follow up via Chemo informatics, File ...

OverviewOverview File Enrichment Chemo informatics High Throughput Chemistry HTS Enabled Hit Follow Up & Productive lead Discovery
Read more

Enabling HTS Hit follow up via Chemo informatics, File ...

Enabling HTS Hit follow up via Chemo informatics, File Enrichment, and Outsourcing Enabling HTS Hit follow up via Chemo informatics, File Enrichment, and ...
Read more

Graham Frank Smith - Publications

Presentation: Enabling HTS Hit follow up via Chemo informatics, File Enrichment, and Outsourcing Enabling HTS Hit follow up via Chemo informatics, File ...
Read more

PGVL Hub: An Integrated Desktop Tool for Medicinal ...

... An Integrated Desktop Tool for Medicinal Chemists to Streamline ... Enabling HTS Hit follow-up via Chemo informatics, File Enrichment, and Outsourcing.
Read more

LEAP into the Pfizer Global Virtual Library (PGVL) Space ...

... Readily Synthesizable Design Ideas Automatically. ... File Enrichment and Hit Follow Up: ... HTS Hit follow-up via Chemo informatics, File ...
Read more

SpringerProtocols: Abstract: PGVL Hub: An Integrated ...

Contents of this article. 1 Introduction 2 Major Requirements 2.1 Singleton Design 2.2 Markush Exemplification
Read more

home - The Street Vendor Project

... sometimes going to bed around 2AM and waking up at 4AM to continue preparing for the upcoming day. ... Street Vendor Project • 40 Rector St., ...
Read more