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Dive into the research topics where Mika Lindvall is active.

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Featured researches published by Mika Lindvall.


Bioorganic & Medicinal Chemistry Letters | 2011

Discovery of novel 3,5-disubstituted indole derivatives as potent inhibitors of Pim-1, Pim-2, and Pim-3 protein kinases.

Gisele Nishiguchi; Gordana Atallah; Cornelia Bellamacina; Matthew Burger; Yu Ding; Paul Feucht; Pablo Garcia; Wooseok Han; Liana M. Klivansky; Mika Lindvall

A series of novel 3,5-disubstituted indole derivatives as potent and selective inhibitors of all three members of the Pim kinase family is described. High throughput screen identified a pan-Pim kinase inhibitor with a promiscuous scaffold. Guided by structure-based drug design, SAR of the series afforded a highly selective indole chemotype that was further developed into a potent set of compounds against Pim-1, 2, and 3 (Pim-1 and Pim-3: IC(50)≤2nM and Pim-2: IC(50)≤100nM).


PLOS ONE | 2012

Inside the Mind of a Medicinal Chemist: The Role of Human Bias in Compound Prioritization during Drug Discovery

Peter S. Kutchukian; Nadya Y. Vasilyeva; Jordan Xu; Mika Lindvall; Michael P. Dillon; Meir Glick; John D. Coley; Natasja Brooijmans

Medicinal chemists’ “intuition” is critical for success in modern drug discovery. Early in the discovery process, chemists select a subset of compounds for further research, often from many viable candidates. These decisions determine the success of a discovery campaign, and ultimately what kind of drugs are developed and marketed to the public. Surprisingly little is known about the cognitive aspects of chemists’ decision-making when they prioritize compounds. We investigate 1) how and to what extent chemists simplify the problem of identifying promising compounds, 2) whether chemists agree with each other about the criteria used for such decisions, and 3) how accurately chemists report the criteria they use for these decisions. Chemists were surveyed and asked to select chemical fragments that they would be willing to develop into a lead compound from a set of ∼4,000 available fragments. Based on each chemist’s selections, computational classifiers were built to model each chemist’s selection strategy. Results suggest that chemists greatly simplified the problem, typically using only 1–2 of many possible parameters when making their selections. Although chemists tended to use the same parameters to select compounds, differing value preferences for these parameters led to an overall lack of consensus in compound selections. Moreover, what little agreement there was among the chemists was largely in what fragments were undesirable. Furthermore, chemists were often unaware of the parameters (such as compound size) which were statistically significant in their selections, and overestimated the number of parameters they employed. A critical evaluation of the problem space faced by medicinal chemists and cognitive models of categorization were especially useful in understanding the low consensus between chemists.


Bioorganic & Medicinal Chemistry Letters | 2008

4-(1H-indazol-5-yl)-6-phenylpyrimidin-2(1H)-one analogs as potent CDC7 inhibitors.

Cynthia Shafer; Mika Lindvall; Cornelia Bellamacina; Thomas G. Gesner; Asha Yabannavar; Weiping Jia; Song Lin; Annette Walter

A series of 4-(4-hydroxyphenyl)-6-phenylpyrimidin-2(1H)-ones were identified by HTS as inhibitors of CDC7. Molecular modeling and medicinal chemistry techniques were employed to explore the SAR for this series with a focus on removing potential metabolic liabilities and improving cellular potency.


Journal of Medicinal Chemistry | 2015

Discovery of Potent and Selective RSK Inhibitors as Biological Probes.

Rama Jain; Michelle Mathur; Jiong Lan; Abran Costales; Gordana Atallah; Savithri Ramurthy; Sharadha Subramanian; Lina Setti; Paul Feucht; Bob Warne; Laura Doyle; Stephen E. Basham; Anne B. Jefferson; Mika Lindvall; Brent A. Appleton; Cynthia Shafer

While the p90 ribosomal S6 kinase (RSK) family has been implicated in multiple tumor cell functions, the full understanding of this kinase family has been restricted by the lack of highly selective inhibitors. A bis-phenol pyrazole was identified from high-throughput screening as an inhibitor of the N-terminal kinase of RSK2. Structure-based drug design using crystallography, conformational analysis, and scaffold morphing resulted in highly optimized difluorophenol pyridine inhibitors of the RSK kinase family as demonstrated cellularly by the inhibition of YB1 phosphorylation. These compounds provide for the first time in vitro tools with an improved selectivity and potency profile to examine the importance of RSK signaling in cancer cells and to fully evaluate RSK as a therapeutic target.


ACS Medicinal Chemistry Letters | 2015

Optimization of a Dibenzodiazepine Hit to a Potent and Selective Allosteric PAK1 Inhibitor.

Alexei Karpov; Payman Amiri; Cornelia Bellamacina; Marie-Helene Bellance; Werner Breitenstein; Dylan Daniel; Regis Denay; Doriano Fabbro; César Fernández; Inga Galuba; Stephanie Guerro-Lagasse; Sascha Gutmann; Linda Hinh; Wolfgang Jahnke; Julia Klopp; Albert Lai; Mika Lindvall; Sylvia Ma; Henrik Möbitz; Sabina Pecchi; Gabriele Rummel; Kevin Shoemaker; Joerg Trappe; Charles Voliva; Sandra W. Cowan-Jacob; Andreas Marzinzik

The discovery of inhibitors targeting novel allosteric kinase sites is very challenging. Such compounds, however, once identified could offer exquisite levels of selectivity across the kinome. Herein we report our structure-based optimization strategy of a dibenzodiazepine hit 1, discovered in a fragment-based screen, yielding highly potent and selective inhibitors of PAK1 such as 2 and 3. Compound 2 was cocrystallized with PAK1 to confirm binding to an allosteric site and to reveal novel key interactions. Compound 3 modulated PAK1 at the cellular level and due to its selectivity enabled valuable research to interrogate biological functions of the PAK1 kinase.


Journal of Medicinal Chemistry | 2017

Structure-Guided Design of EED Binders Allosterically Inhibiting the Epigenetic Polycomb Repressive Complex 2 (PRC2) Methyltransferase

Andreas Lingel; Martin Sendzik; Ying Huang; Michael Shultz; John Cantwell; Michael Patrick Dillon; Xingnian Fu; John Fuller; Tobias Gabriel; Justin Gu; Xiangqing Jiang; Ling Li; Fang Liang; Maureen Mckenna; Wei Qi; Weijun Rao; Xijun Sheng; Wei Shu; James C. Sutton; Benjamin Taft; Long Wang; Jue Zeng; Hailong Zhang; Maya Zhang; Kehao Zhao; Mika Lindvall; Dirksen E. Bussiere

PRC2 is a multisubunit methyltransferase involved in epigenetic regulation of early embryonic development and cell growth. The catalytic subunit EZH2 methylates primarily lysine 27 of histone H3, leading to chromatin compaction and repression of tumor suppressor genes. Inhibiting this activity by small molecules targeting EZH2 was shown to result in antitumor efficacy. Here, we describe the optimization of a chemical series representing a new class of PRC2 inhibitors which acts allosterically via the trimethyllysine pocket of the noncatalytic EED subunit. Deconstruction of a larger and complex screening hit to a simple fragment-sized molecule followed by structure-guided regrowth and careful property modulation were employed to yield compounds which achieve submicromolar inhibition in functional assays and cellular activity. The resulting molecules can serve as a simplified entry point for lead optimization and can be utilized to study this new mechanism of PRC2 inhibition and the associated biology in detail.


Molecular Cancer Research | 2014

Novel Potent and Selective Inhibitors of p90 Ribosomal S6 Kinase Reveal the Heterogeneity of RSK Function in MAPK- Driven Cancers

Ida Aronchik; Brent A. Appleton; Stephen E. Basham; Kenneth Crawford; Mercedita Del Rosario; Laura Doyle; William F. Estacio; Jiong Lan; Mika Lindvall; Catherine A. Luu; Elizabeth Ornelas; Eleni Venetsanakos; Cynthia Shafer; Anne B. Jefferson

The p90 ribosomal S6 kinase (RSK) family of serine/threonine kinases is expressed in a variety of cancers and its substrate phosphorylation has been implicated in direct regulation of cell survival, proliferation, and cell polarity. This study characterizes and presents the most selective and potent RSK inhibitors known to date, LJH685 and LJI308. Structural analysis confirms binding of LJH685 to the RSK2 N-terminal kinase ATP-binding site and reveals that the inhibitor adopts an unusual nonplanar conformation that explains its excellent selectivity for RSK family kinases. LJH685 and LJI308 efficiently inhibit RSK activity in vitro and in cells. Furthermore, cellular inhibition of RSK and its phosphorylation of YB1 on Ser102 correlate closely with inhibition of cell growth, but only in an anchorage-independent growth setting, and in a subset of examined cell lines. Thus, RSK inhibition reveals dynamic functional responses among the inhibitor-sensitive cell lines, underscoring the heterogeneous nature of RSK dependence in cancer. Implications: Two novel potent and selective RSK inhibitors will now allow a full assessment of the potential of RSK as a therapeutic target for oncology. Mol Cancer Res; 12(5); 803–12. ©2014 AACR.


Bioorganic & Medicinal Chemistry Letters | 2014

2-Amino-7-substituted benzoxazole analogs as potent RSK2 inhibitors.

Abran Costales; Michelle Mathur; Savithri Ramurthy; Jiong Lan; Sharadha Subramanian; Rama Jain; Gordana Atallah; Lina Setti; Mika Lindvall; Brent A. Appleton; Elizabeth Ornelas; Paul Feucht; Bob Warne; Laura Doyle; Stephen E. Basham; Ida Aronchik; Anne B. Jefferson; Cynthia Shafer

2-Amino-7-substituted benzoxazole analogs were identified by HTS as inhibitors of RSK2. Molecular modeling and medicinal chemistry techniques were employed to explore the SAR for this series with a focus of improving in vitro and target modulation potency and physicochemical properties.


Journal of Biomolecular Screening | 2015

Large scale meta-analysis of fragment-based screening campaigns: privileged fragments and complementary technologies.

Peter S. Kutchukian; Anne Mai Wassermann; Mika Lindvall; S. Kirk Wright; Johannes Ottl; Jaison Jacob; Clemens Scheufler; Andreas Marzinzik; Natasja Brooijmans; Meir Glick

A first step in fragment-based drug discovery (FBDD) often entails a fragment-based screen (FBS) to identify fragment “hits.” However, the integration of conflicting results from orthogonal screens remains a challenge. Here we present a meta-analysis of 35 fragment-based campaigns at Novartis, which employed a generic 1400-fragment library against diverse target families using various biophysical and biochemical techniques. By statistically interrogating the multidimensional FBS data, we sought to investigate three questions: (1) What makes a fragment amenable for FBS? (2) How do hits from different fragment screening technologies and target classes compare with each other? (3) What is the best way to pair FBS assay technologies? In doing so, we identified substructures that were privileged for specific target classes, as well as fragments that were privileged for authentic activity against many targets. We also revealed some of the discrepancies between technologies. Finally, we uncovered a simple rule of thumb in screening strategy: when choosing two technologies for a campaign, pairing a biochemical and biophysical screen tends to yield the greatest coverage of authentic hits.


ACS Medicinal Chemistry Letters | 2011

3D Pharmacophore Model-Assisted Discovery of Novel CDC7 Inhibitors

Mika Lindvall; Christopher Mcbride; Maureen Mckenna; Thomas G. Gesner; Asha Yabannavar; Kent Wong; Song Lin; Annette Walter; Cynthia Shafer

A ligand-based 3D pharmacophore model for serine/threonine kinase CDC7 inhibition was created and successfully applied in the discovery of novel 2-(heteroaryl)-6,7-dihydrothieno[3,2-c]pyridin-4(5H)-ones. The pharmacophore model provided a hypothesis for lead generation missed by docking to a homology model. Medicinal chemistry exploration of the series revealed clear structure-activity relationships consistent with the pharmacophore model and pointed to further optimization opportunities.

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