Literature DB >> 26262898

Quantifying, Visualizing, and Monitoring Lead Optimization.

Andrew T Maynard1, Christopher D Roberts1.   

Abstract

Although lead optimization (LO) is by definition a process, process-centric analysis and visualization of this important phase of pharmaceutical R&D has been lacking. Here we describe a simple statistical framework to quantify and visualize the progression of LO projects so that the vital signs of LO convergence can be monitored. We refer to the resulting visualizations generated by our methodology as the "LO telemetry" of a project. These visualizations can be automated to provide objective, holistic, and instantaneous analysis and communication of LO progression. This enhances the ability of project teams to more effectively drive LO process, while enabling management to better coordinate and prioritize LO projects. We present the telemetry of five LO projects comprising different biological targets and different project outcomes, including clinical compound selection, termination due to preclinical safety/tox, and termination due to lack of tractability. We demonstrate that LO progression is accurately captured by the telemetry. We also present metrics to quantify LO efficiency and tractability.

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Year:  2015        PMID: 26262898     DOI: 10.1021/acs.jmedchem.5b00948

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  11 in total

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Journal:  J Comput Aided Mol Des       Date:  2017-10-06       Impact factor: 3.686

3.  Adapting the DeepSARM approach for dual-target ligand design.

Authors:  Atsushi Yoshimori; Huabin Hu; Jürgen Bajorath
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4.  Computational Assessment of Chemical Saturation of Analogue Series under Varying Conditions.

Authors:  Dimitar Yonchev; Martin Vogt; Dagmar Stumpfe; Ryo Kunimoto; Tomoyuki Miyao; Jürgen Bajorath
Journal:  ACS Omega       Date:  2018-11-20

Review 5.  Structural simplification: an efficient strategy in lead optimization.

Authors:  Shengzheng Wang; Guoqiang Dong; Chunquan Sheng
Journal:  Acta Pharm Sin B       Date:  2019-06-06       Impact factor: 11.413

6.  Computational method for estimating progression saturation of analog series.

Authors:  Ryo Kunimoto; Tomoyuki Miyao; Jürgen Bajorath
Journal:  RSC Adv       Date:  2018-01-31       Impact factor: 4.036

7.  The nature of ligand efficiency.

Authors:  Peter W Kenny
Journal:  J Cheminform       Date:  2019-01-31       Impact factor: 5.514

8.  COVID-19: CADD to the rescue.

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Journal:  Virus Res       Date:  2020-05-15       Impact factor: 3.303

9.  Integrating computational lead optimization diagnostics with analog design and candidate selection.

Authors:  Dimitar Yonchev; Jürgen Bajorath
Journal:  Future Sci OA       Date:  2020-01-24

10.  DeepCOMO: from structure-activity relationship diagnostics to generative molecular design using the compound optimization monitor methodology.

Authors:  Dimitar Yonchev; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2020-10-05       Impact factor: 3.686

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