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  4. > Triple Analysis: Melanoma, Protein Kinase Inhibitors and Peptides

This triple analysis focuses on cancer drug development strategies in one specific cancer indication (Melanoma), one mechanism/target/effect area (Protein Kinase Inhibitors) and one compound specific area (Peptides). Each of these three individual parts is evaluated according to standardized criteria in a five pillar pipeline drug assessment methodology to compare drug development strategies in oncology. This makes it easy to find and compare analysis not only within one single cancer focus area but also between different areas.

Below is a short synopsis of each part included in this report:

Part I: Melanoma
The melanoma drug report part comprises defined and up to date development strategies for 282 drugs within the portfolio of 164 companies world-wide, from Ceased to Marketed. The report extensively analyses their 226 identified drug targets, organized into 187 drug target strategies, and assesses them in melanoma.
This part is based on the following publication:
Melanoma Drug Development Analysis: From First-in-Class to Best-in-Class?

Part II: Protein Kinase Inhibitors
The protein kinase drug report part comprises defined and up to date development strategies for 648 drugs in oncology within the portfolio of 212 companies world-wide, from Ceased to Marketed. The report extensively analyses their 183 identified drug targets, organized into 278 drug target strategies, and assesses them in 70 cancer indications.
This part is based on the following publication:
Competitive Insights to Protein Kinase Therapeutics in Oncology: The Faster Route to Consider Your Options and Position of Others

Part III: Peptides
The peptide drug report part comprises defined and up to date development strategies for 171 drugs in oncology within the portfolio of 114 companies world-wide, from Ceased to Marketed. The report extensively analyses their 132 identified drug targets, organized into 109 drug target strategies, and assesses them in 62 cancer indications.
This part is based on the following publication:
Cancer Peptides: From First-in-Class to Best-in-Class?

The report is written for you to understand and assess the impact of competitor entry and corresponding changes to development strategies for your own portfolio products. It helps teams to maximize molecule value by selecting optimal development plans and manage risk and uncertainty. The report serves as an external commercial advocate for pharmaceutical companies’ pipeline and portfolio planning (PPP) in cancer by:

* Providing you with competitive input to the R&D organization to guide development of early product ideas and ensure efforts are aligned with business objectives

* Assisting you to make informed decisions in selecting cancer indications that are known to be appropriate for your drug’s properties

* Analyzing, correlating and integrating valuable data sources in order to provide accurate data for valuation of pipeline, in-licensing and new business opportunities

* Providing you with commercial analytic support for due diligence on in-licensing and acquisition opportunities

* Supporting development of integrative molecule, pathway and disease area strategies

* Integrating knowledge for you to consider the therapeutic target for the highest therapeutic outcome and return on investment

This report provides systems, analytical and strategic support both internally to PPP and to stakeholders across your own organization. The report will also be an important part of creating and implementing a market development plan for cancer drugs to insure that the optimal market conditions exist by the time the products are commercialized.

Table Of Contents

Triple Analysis: Melanoma, Protein Kinase Inhibitors and Peptides
Key Topics Covered:

Part I: Melanoma
5.1 The Scope of this Report 26
6 Consider the Therapeutic Target Among Melanoma Drugs for the Highest Therapeutic Outcome and Return on Investment (226 Drug Targets) 30-467
7 First-in-Class and Me-too Analysis of Melanoma Drugs (187 Drug Target Strategies and 282 Drugs) 468-677
8 Is First-in-Class the Best-in-Class? 488-678
9 Compound Strategies at Work: Competitive Benchmarking of Melanoma Drugs by Compound Strategy (7 Compound Strategies) 679-710
10 The Competition Through Close Mechanistic Approximation of Melanoma Drugs 711
11 Pipeline and Portfolio Planning: Competitive Benchmarking of the Melanoma Drug Pipeline by Company (164 Companies and 282 Drugs) 716-1165
12 Disclaimer 1166
Figures: Includes 5 Figures
Tables: Includes 222 Tables
Total Number of Pages: 1,181

Part II: Protein Kinase Inhibitors
5.1 The Scope of this Report 38
6 Consider the Therapeutic Target Among Protein Kinase Drugs in Oncology for the Highest Therapeutic Outcome and Return on Investment (183 Drug Targets) 42-516
7 Emerging New Products to Established Ones: Drug Target Strategies of Protein Kinase Drugs in Oncology by their Highest Stage of Development (278 Drug Target Strategies and 648 Drugs) 517-945
8 Compound Strategies at Work: Competitive Benchmarking of Protein Kinase Cancer Drugs by Compound Strategy (8 Compound Strategies) 946-1013
9 Selecting Indication for Protein Kinase Drugs in Oncology (70 Cancer Indications) 1014-1223
10 Pipeline and Portfolio Planning: Competitive Benchmarking of the Protein Kinase Drug Pipeline in Oncology by Investigator (212 Investigators and 648 Drugs) 1224-2939
11 Disclaimer 2940
Figures: Includes 8 Figures
Tables: Includes 389 Tables
Total Number of Pages: 2,940

Part III: Peptides
5.1 The Scope of this Report 27
6 Consider the Therapeutic Target Among Peptide Drugs in Cancer for the Highest Therapeutic Outcome and Return on Investment (132 Drug Targets) 31-252
7 First-in-Class and Me-too Analysis of Peptide Drugs in Cancer (109 Drug Target Strategies and 171 Drugs) 253-267
8 Is First-in-Class the Best-in-Class? (109 Drug Target Strategies and 171 Drugs) 268-387
9 The Competition through Close Mechanistic Approximation of Peptide Drugs in Cancer 388
10 Selecting Indication for Peptide Drugs in Oncology ( 62 Cancer Indications) 391-475
11 Pipeline and Portfolio Planning: Competitive Benchmarking of the Cancer Peptide Drug Pipeline by Investigator (114 Investigators and 171 Drugs) 476-1001
12 Disclaimer 1002
Figures: Includes 5 Figures
Tables: Includes 232 Tables
Total Number of Pages: 1,013

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