One Scaffold, Three Binding Modes: Novel and Selective Pteridine Reductase 1 Inhibitors Derived from Fragment Hits Discovered by Virtual Screening

The enzyme pteridine reductase 1 (PTR1) is a potential target for new compounds to treat human African trypanosomiasis. A virtual screening campaign for fragments inhibiting PTR1 was carried out. Two novel chemical series were identified containing aminobenzothiazole and aminobenzimidazole scaffolds, respectively. One of the hits (2-amino-6-chloro-benzimidazole) was subjected to crystal structure analysis and a high resolution crystal structure in complex with PTR1 was obtained, confirming the predicted binding mode. However, the crystal structures of two analogues (2-amino-benzimidazole and 1-(3,4-dichloro-benzyl)-2-amino-benzimidazole) in complex with PTR1 revealed two alternative binding modes. In these complexes, previously unobserved protein movements and water-mediated protein−ligand contacts occurred, which prohibited a correct prediction of the binding modes. On the basis of the alternative binding mode of 1-(3,4-dichloro-benzyl)-2-amino-benzimidazole, derivatives were designed and selective PTR1 inhibitors with low nanomolar potency and favorable physicochemical properties were obtained.

[1]  M. Congreve,et al.  Recent developments in fragment-based drug discovery. , 2008, Journal of medicinal chemistry.

[2]  Gordon A. Leonard,et al.  Pteridine reductase mechanism correlates pterin metabolism with drug resistance in trypanosomatid parasites , 2001, Nature Structural Biology.

[3]  Peter Willett,et al.  Knowledge-Based Interaction Fingerprint Scoring: A Simple Method for Improving the Effectiveness of Fast Scoring Functions , 2006, J. Chem. Inf. Model..

[4]  A. Fairlamb,et al.  Chemical and genetic validation of dihydrofolate reductase–thymidylate synthase as a drug target in African trypanosomes , 2008, Molecular microbiology.

[5]  Jin Li,et al.  On Evaluating Molecular-Docking Methods for Pose Prediction and Enrichment Factors , 2006, J. Chem. Inf. Model..

[6]  P. Hajduk,et al.  Puzzling through fragment-based drug design , 2006, Nature chemical biology.

[7]  P. Selzer,et al.  Fast calculation of molecular polar surface area as a sum of fragment-based contributions and its application to the prediction of drug transport properties. , 2000, Journal of medicinal chemistry.

[8]  Richard D. Taylor,et al.  Virtual Screening Using Protein—Ligand Docking: Avoiding Artificial Enrichment. , 2004 .

[9]  L. Hardy,et al.  New approaches to Leishmania chemotherapy: pteridine reductase 1 (PTR1) as a target and modulator of antifolate sensitivity , 1997, Parasitology.

[10]  Beverley,et al.  Biochemical and Genetic Tests for Inhibitors of Leishmania Pteridine Pathways , 1997, Experimental parasitology.

[11]  Stephen M Beverley,et al.  Structures of Leishmania major pteridine reductase complexes reveal the active site features important for ligand binding and to guide inhibitor design. , 2005, Journal of molecular biology.

[12]  J. Donelson,et al.  The Genome of the African Trypanosome , 2002 .

[13]  A. Vagin,et al.  MOLREP: an Automated Program for Molecular Replacement , 1997 .

[14]  Paul R. Gerber,et al.  MAB, a generally applicable molecular force field for structure modelling in medicinal chemistry , 1995, J. Comput. Aided Mol. Des..

[15]  Hanna Geppert,et al.  Integrating Structure‐ and Ligand‐Based Virtual Screening: Comparison of Individual, Parallel, and Fused Molecular Docking and Similarity Search Calculations on Multiple Targets , 2008, ChemMedChem.

[16]  G N Murshudov,et al.  Use of TLS parameters to model anisotropic displacements in macromolecular refinement. , 2001, Acta crystallographica. Section D, Biological crystallography.

[17]  Kerim Babaoglu,et al.  Deconstructing fragment-based inhibitor discovery , 2006, Nature chemical biology.

[18]  Daniel James,et al.  Lessons Learnt from Assembling Screening Libraries for Drug Discovery for Neglected Diseases , 2007, ChemMedChem.

[19]  Z. Otwinowski,et al.  Processing of X-ray diffraction data collected in oscillation mode. , 1997, Methods in enzymology.

[20]  Thomas Sander,et al.  Comparison of Ligand- and Structure-Based Virtual Screening on the DUD Data Set , 2009, J. Chem. Inf. Model..

[21]  Paul R. Gerber,et al.  Charge distribution from a simple molecular orbital type calculation and non-bonding interaction terms in the force field MAB , 1998, J. Comput. Aided Mol. Des..

[22]  A. Fairlamb,et al.  Structure and reactivity of Trypanosoma brucei pteridine reductase: inhibition by the archetypal antifolate methotrexate , 2006, Molecular microbiology.

[23]  R. Pink,et al.  Opportunities and Challenges in Antiparasitic Drug Discovery , 2005, Nature Reviews Drug Discovery.

[24]  S. Kurup,et al.  Recent advances in classical and non-classical antifolates as antitumor and antiopportunistic infection agents: Part II. , 2008, Anti-cancer agents in medicinal chemistry.

[25]  B. Shoichet,et al.  Probing molecular docking in a charged model binding site. , 2006, Journal of molecular biology.

[26]  A. Leslie,et al.  The integration of macromolecular diffraction data. , 2006, Acta crystallographica. Section D, Biological crystallography.

[27]  A. W. Schüttelkopf,et al.  PRODRG: a tool for high-throughput crystallography of protein-ligand complexes. , 2004, Acta crystallographica. Section D, Biological crystallography.

[28]  Collaborative Computational,et al.  The CCP4 suite: programs for protein crystallography. , 1994, Acta crystallographica. Section D, Biological crystallography.

[29]  David M. A. Martin,et al.  The Genome of the African Trypanosome Trypanosoma brucei , 2005, Science.

[30]  P. Kuzmič,et al.  High-throughput screening of enzyme inhibitors: automatic determination of tight-binding inhibition constants. , 2000, Analytical biochemistry.

[31]  P. Kennedy The continuing problem of human African trypanosomiasis (sleeping sickness) , 2008, Annals of neurology.

[32]  Kevin Cowtan,et al.  research papers Acta Crystallographica Section D Biological , 2005 .

[33]  L. Hardy,et al.  PTR1: a reductase mediating salvage of oxidized pteridines and methotrexate resistance in the protozoan parasite Leishmania major. , 1994, Proceedings of the National Academy of Sciences of the United States of America.

[34]  A. Hopkins,et al.  Ligand efficiency: a useful metric for lead selection. , 2004, Drug discovery today.

[35]  P. Hajduk,et al.  A decade of fragment-based drug design: strategic advances and lessons learned , 2007, Nature Reviews Drug Discovery.

[36]  Maria Paola Costi,et al.  Discovery of potent pteridine reductase inhibitors to guide antiparasite drug development , 2008, Proceedings of the National Academy of Sciences.

[37]  O. Balmer,et al.  New developments in human African trypanosomiasis , 2006, Current opinion in infectious diseases.

[38]  Christian R Noe,et al.  In silico prediction models for blood-brain barrier permeation. , 2004, Current medicinal chemistry.

[39]  B. Matthews,et al.  A model binding site for testing scoring functions in molecular docking. , 2002, Journal of molecular biology.

[40]  R. Titus,et al.  Regulation of Differentiation to the Infective Stage of the Protozoan Parasite Leishmania major by Tetrahydrobiopterin , 2001, Science.

[41]  B. Shoichet,et al.  Flexible ligand docking using conformational ensembles , 1998, Protein science : a publication of the Protein Society.

[42]  G. Murshudov,et al.  Refinement of macromolecular structures by the maximum-likelihood method. , 1997, Acta crystallographica. Section D, Biological crystallography.

[43]  R. Iemura,et al.  Syntheses of the metabolites of 1-(2-ethoxyethyl)-2-(hexahydro-4-methyl-1H-1,4-diazepin-1-yl)-1H benzimidazole difumarate (KG-2413) and related compounds. , 1989, Chemical & pharmaceutical bulletin.

[44]  L. Hardy,et al.  The Roles of Pteridine Reductase 1 and Dihydrofolate Reductase-Thymidylate Synthase in Pteridine Metabolism in the Protozoan Parasite Leishmania major* , 1997, The Journal of Biological Chemistry.

[45]  Gerhard F. Ecker,et al.  In silico prediction models for blood-brain barrier permeation. , 2004, Current medicinal chemistry.

[46]  P. Evans,et al.  Scaling and assessment of data quality. , 2006, Acta crystallographica. Section D, Biological crystallography.

[47]  A G Leslie,et al.  Biological Crystallography Integration of Macromolecular Diffraction Data , 2022 .

[48]  Ricardo L Mancera Molecular modeling of hydration in drug design. , 2007, Current opinion in drug discovery & development.

[49]  Gilles Marcou,et al.  Optimizing Fragment and Scaffold Docking by Use of Molecular Interaction Fingerprints , 2007, J. Chem. Inf. Model..

[50]  S. Kurup,et al.  Recent advances in classical and non-classical antifolates as antitumor and antiopportunistic infection agents: part I. , 2007, Anti-cancer agents in medicinal chemistry.

[51]  Robert P. Sheridan,et al.  Comparison of Topological, Shape, and Docking Methods in Virtual Screening , 2007, J. Chem. Inf. Model..

[52]  Pedro Alexandrino Fernandes,et al.  Protein–ligand docking: Current status and future challenges , 2006, Proteins.

[53]  G. Klebe Virtual ligand screening: strategies, perspectives and limitations , 2006, Drug Discovery Today.