Inhibitor design against JNK1 through e-pharmacophore modeling docking and molecular dynamics simulations

c-Jun-NH2 terminal kinases (JNKs) come under a class of serine/threonine protein kinases and are encoded by three genes, namely JNK1, JNK2 and JNK3. Human JNK1 is a cytosolic kinase belonging to mitogen-activated protein kinase (MAPK) family, which plays a major role in intracrinal signal transduction cascade mechanism. Overexpressed human JNK1, a key kinase interacts with other kinases involved in the etiology of many cancers, such as skin cancer, liver cancer, breast cancer, brain tumors, leukemia, multiple myeloma and lymphoma. Thus, to unveil a novel human JNK1 antagonist, receptor-based pharmacophore modeling was performed with the available eighteen cocrystal structures of JNK1 in the protein data bank. Eighteen e-pharmacophores were generated from the 18 cocrystal structures. Four common e-pharmacophores were developed from the 18 e-pharmacophores, which were used as three-dimensional (3D) query for shape-based similarity screening against more than one million small molecules to generate a JNK1 ligand library. Rigid receptor docking (RRD) performed using GLIDE v6.3 for the 1683 compounds from in-house library and 18 cocrystal ligands with human JNK1 from lower stringency to higher stringency revealed 17 leads. Further to derive the best leads, dock complexes obtained from RRD were studied further with quantum-polarized ligand docking (QPLD), induced fit docking (IFD) and molecular mechanics/generalized Born surface area (MM-GBSA). Four leads have showed lesser binding free energy and better binding affinity towards JNK1 compared to 18 cocrystal ligands. Additionally, JNK1–lead1 complex interaction stability was reasserted using 50?ns MD simulations run and also compared with the best resolute cocrystal structure using Desmond v3.8. Thus, the results obtained from RRD, QPLD, IFD and MD simulations indicated that lead1 might be used as a potent antagonist toward human JNK1 in cancer therapeutics.     

Homology modeling and molecular dynamics simulations of Dengue virus NS2B/NS3 protease: insight into molecular interaction

The pathogenic West Nile virus (WNV) and Dengue virus (DV) are growing global threats for which there are no specific treatments. Both viruses possess a two component NS2B/NS3 protease which cleaves viral precursor proteins. Whereas for the WNV protease two crystal structures in complex with an inhibitor have been solved recently, no such information is available for the DV protease. Here, we report the generation of a homology model of DV NS2B/NS3 protease. Since it is known from the related WNV protease that it adopts a distinct conformation in free and in inhibitor‐complexed form, a special emphasis was given to the analysis of the protease flexibility. Therefore, several models of DV NS2B/NS3 protease complexed with the peptidic inhibitor (Bz‐Nle(P4)‐Lys(P3)‐Arg(P2)‐Arg(P1)‐H) were generated. The first DV protease model (DV‐1) was constructed using the available crystal structure of the apo DV NS2B/NS3 protease. The second model (DV‐2) was built taking the WNV NS3/NS2B protease in the inhibitor‐complexed form as the template structure. Molecular dynamics simulations which were carried out for the WNV crystal structures as well as for the DV models provided an understanding of the role of NS2B for maintaining the protease in the active conformation. It was also demonstrated that NS2B is not only important for maintaining NS3 in the active form, but is also essential for establishing the interaction between residues from the S2 pocket and the peptidic inhibitor. The DV NS2B/NS3 model in the productive conformation can now be used for structure‐based design purposes. Copyright © 2009 John Wiley & Sons, Ltd.     

Homology modeling and molecular dynamics study on N-acetylneuraminate lyase

With homology modeling techniques, molecular mechanics and molecular dynamics methods, a 3D structure model of N-acetylneuraminate lyase from human (hNAL, EC 4.1.3.3) was created and refined. This model was further assessed by Profile-3D and PROCHECK, which confirms that the refined model is reliable. Furthermore, the docking results of the substrates (sialic acid and KDO) into the active site of hNAL indicate that hNAL can cleave the sialic acid and KDO. Thr51 and Tyr143 may be the key amino acids residues as they have strong hydrogen bonding interactions with the substrates, which is in good agreement with the experimental results by Izard et al. (Structure 2:361–369. doi:10.1016/S0969-2126(00)00038-1 (1994)). From the docking studies, we also suggest that Asp176 and Ser218 only form hydrogen bonds with sialic acid, therefore, they may help sialic acid interact with hNAL steadly.     

Homology modeling and molecular dynamics study on Schwanniomyces occidentalis alpha-amylase

With consumers growing increasingly aware of environmental issues, industries find enzymes as a reasonable alternative over physical conditions and chemical catalysts. Amylases are important hydrolase enzymes, which have been widely used in variety of industrial process such as pharmaceutical, food, and fermentation industries. Among amylases α-Amylase is in maximum demand due to its wide range of applications. The homology modeling study on Schwanniomyces occidentalis amylase (AMY1, UniProt identifier number: P19269) was performed by Modeller using Aspergillus oryzae (6TAA) as the template. The resulting structure was analyzed for validity and subjected to 14 ns of molecular dynamics (MD) simulation trough GROMACS. The validity of obtained model may represent that utilized OPLS force field is suitable for calcium-containing enzymes. DSSP secondary structure and contact map analysis represent the conservation of domain A TIM barrel feature together with calcium ion coordination sphere. Investigating the covariance matrix followed by principle component analyses for the first five eigenvectors of both trajectories indicate a little more flexibility for AMY1 structure. The electrostatic calculation for the final structures shows similar isoelectric point and superimposed buffering zone in the 5–8 pH range.     

Homology modeling, docking, molecular dynamics simulation, and structural analyses of coxsakievirus B3 2A protease: an enzyme involved in the pathogenesis of inflammatory myocarditis

2A protease of the pathogenic coxsackievirus B3 is key to the pathogenesis of inflammatory myocarditis and, therefore, an attractive drug target. However lack of a crystal structure impedes design of inhibitors. Here we predict 3D structure of CVB3 2A^pro based on sequence comparison and homology modeling with human rhinovirus 2A^pro. The two enzymes are remarkably similar in their core regions. However they have different conformations at the N-terminal. A large number of N-terminal hydrophobic residues reduce the thermal stability of CVB3 2A^pro, as we confirmed by fluorescence, western blot and turbidity measurement. Molecular dynamic simulation revealed that elevated temperature induces protein motion that results in frequent movement of the N-terminal coil. This may therefore induce successive active site changes and thus play an important role in destabilization of CVB3 2A^pro structure.     

Homology modeling and molecular dynamics study of West Nile virus NS3 protease: a molecular basis for the catalytic activity increased by the NS2B cofactor

The West Nile virus (WNV) NS3 serine protease, which plays an important role in assembly of infective virion, is an attractive target for anti-WNV drug development. Cofactors NS2B and NS4A increase the catalytic activity of NS3 in dengue virus and Hepatitis C virus, respectively. Recent studies on the WNV-NS3 characterize the catalytically active form of NS3 by tethering the 40-residue cofactor NS2B. It is suggested that NS2B is essential for the NS3 activity in WNV, while there is no information of the WNV-NS3-related crystal structure. To understand the role of NS2B/substrate in the NS3 catalytic activity, we built a series of models: WNV-NS3 and WNV-NS3-NS2B and WNV-NS3-NS2B-substrate using homology modeling and molecular modeling techniques. Molecular dynamics (MD) simulations were performed for 2.75 ns on each model, to investigate the structural stabilization and catalytic triad motion of the WNV NS3 protease with and without NS2B/substrate. The simulations show that the NS3 rearrangement occurs upon the NS2B binding, resulting in the stable D75-OD1...H51-NH hydrogen bonding. After the substrate binds to the NS3-NS2B active site, the NS3 protease becomes more stable, and the catalytic triad is formed. These results provide a structural basis for the activation and stabilization of the enzyme by its cofactor and substrate.     

Homology modeling and molecular dynamics simulations of lymphotactin

We have modeled the structure of human lymphotactin (hLpnt), by homology modeling and molecular dynamics simulations. This chemokine is unique in having a single disulfide bond and a long C-terminal tail. Because other structural classes of chemokines have two pairs of Cys residues, compared to one in Lpnt, and because it has been shown that both disulfide bonds are required for stability and function, the question arises how the Lpnt maintains its structural integrity. The initial structure of hLpnt was constructed by homology modeling. The first 63 residues in the monomer of hLpnt were modeled using the structure of the human CC chemokine, RANTES, whose sequence appeared most similar. The structure of the long C-terminal tail, missing in RANTES, was taken from the human muscle fatty-acid binding protein. In a Protein Data Bank search, this protein was found to contain a sequence that was most homologous to the long tail. Consequently, the modeled hLpnt C-terminal tail consisted of both alpha-helical and beta-motifs. The complete model of the hLpnt monomer consisted of two alpha-helices located above the five-stranded beta-sheet. Molecular dynamics simulations of the solvated initial model have indicated that the stability of the predicted fold is related to the geometry of Pro78. The five-stranded beta-sheet appeared to be preserved only when Pro78 was modeled in the cis conformation. Simulations were also performed both for the C-terminal truncated forms of the hLpnt that contained one or two (CC chemokine-like) disulfide bonds, and for the chicken Lpnt (cLpnt). Our MD simulations indicated that the turn region (T30-G34) in hLpnt is important for the interactions with the receptor, and that the long C-terminal region stabilizes both the turn (T30-G34) and the five-stranded beta-sheet. The major conclusion from our theoretical studies is that the lack of one disulfide bond and the extension of the C-terminus in hLptn are mutually complementary. It is very likely that removal of two Cys residues sufficiently destabilizes the structure of a chemokine molecule, particularly the core beta-sheet, to abolish its biological function. However, this situation is rectified by the long C-terminal segment. The role of this long region is most likely to stabilize the first beta-turn region and alpha-helix H1, explaining how this chemokine can function with a single disulfide bond.     

Homology modeling of human CCR5 and analysis of its binding properties through molecular docking and molecular dynamics simulation

In this study, homology modeling, molecular docking and molecular dynamics simulation were performed to explore structural features and binding mechanism of some inhibitors of chemokine receptor type 5 (CCR5), and to construct a model for designing new CCR5 inhibitors for preventing HIV attachment to the host cell. A homology modeling procedure was employed to construct a 3D model of CCR5. For this procedure, the X-ray crystal structure of bovine rhodopsin (1F88A) at 2.80? resolution was used as template. After inserting the constructed model into a hydrated lipid bilayer, a 20ns molecular dynamics (MD) simulation was performed on the whole system. After reaching the equilibrium, twenty-four CCR5 inhibitors were docked in the active site of the obtained model. The binding models of the investigated antagonists indicate the mechanism of binding of the studied compounds to the CCR5 obviously. Moreover, 3D pictures of inhibitor-protein complex provided precious data regarding the binding orientation of each antagonist into the active site of this protein. One additional 20 ns MD simulation was performed on the initial structure of the CCR5-ligand 21 complex, resulted from the previous docking calculations, embedded in a hydrated POPE bilayer to explore the effects of the presence of lipid bilayer in the vicinity of CCR5-ligand complex. This article is part of a Special Issue entitled Protein translocation across or insertion into membranes.     

NTPase and 5'-RNA triphosphatase activities of Chikungunya virus nsP2 protein

Chikungunya virus (CHIKV) is an insect borne virus (genus: Alphavirus) which causes acute febrile illness in humans followed by a prolonged arthralgic disease that affects the joints of the extremities. Re-emergence of the virus in the form of outbreaks in last 6-7 years has posed a serious public health problem. CHIKV has a positive sense single stranded RNA genome of about 12,000 nt. Open reading frame 1 of the viral genome encodes a polyprotein precursor, nsP1234, which is processed further into different non structural proteins (nsP1, nsP2, nsP3 and nsP4). Sequence based analyses have shown helicase domain at the N-terminus and protease domain at C-terminus of nsP2. A detailed biochemical analysis of NTPase/RNA helicase and 5'-RNA phosphatase activities of recombinant CHIKV-nsP2T protein (containing conserved NTPase/helicase motifs in the N-terminus and partial papain like protease domain at the C-terminus) was carried out. The protein could hydrolyze all NTPs except dTTP and showed better efficiency for ATP, dATP, GTP and dGTP hydrolysis. ATP was the most preferred substrate by the enzyme. CHIKV-nsP2T also showed 5'-triphosphatase (RTPase) activity that specifically removes the γ-phosphate from the 5' end of RNA. Both NTPase and RTPase activities of the protein were completely dependent on Mg(2+) ions. RTPase activity was inhibited by ATP showing sharing of the binding motif by NTP and RNA. Both enzymatic activities were drastically reduced by mutations in the NTP binding motif (GKT) and co-factor, Mg(2+) ion binding motif (DEXX) suggesting that they have a common catalytic site.     

米曲霉木糖醇脱氢酶的分子模建与对接

[目的]研究米曲霉木糖醇脱氢酶基因的结构与功能.[方法]克隆测序来源于米曲霉的木糖醇脱氢酶(XDH)基因,利用Swiss-MODEL和Modeller对XDH进行三级结构模建,通过PROCHECK和Prosa2003对得到的4个目标模型进行评价,从中得到一个最佳模型.在同源建模的基础上,通过分子对接软件MolsoftICM-Pro,对辅因子进行对接,预测了XDH与NAD+、Zn2+作用的相关残基.寻找底物木糖醇与XDH结合的可能活性口袋,用Molsoft模拟XDH与木糖醇的对接,预测了酶与底物作用的关键氨基酸残基.[结果]结构分析显示,米曲霉XDH含有醇脱氢酶家族锌指纹结构和典型醇脱氢酶Rossmann折叠的辅酶结合域,属于Medium-chain脱氢酶(MDR)家族.通过对接研究,预测了XDH与NAD+之间形成氢键的氨基酸有Asp206、Arg211、Ser255、Ser301和Arg303,这些氨基酸位于结合域,与Zn2+形成氢键的氨基酸有His72和Glu73,位于催化域,与天然底物木糖醇形成氢键的氨基酸有Ile46、Ile349、Lys350和Thr351,位于催化域.[结论]所得信息对XDH分子定向改造、拓展米曲霉工业应用范围有重要意义.     

Homology modeling,docking, and molecular dynamics simulation of the receptor GALR2 and its interactions with galanin and a positive allosteric modulator

Galanin receptor type 2 (GALR2) is a class A G-protein-coupled receptor (GPCR), and it has been reported that orthosteric ligands and positive allosteric modulators (PAMs) of GALR2 could potentially be used to treat epilepsy. So far, the X-ray structure of this receptor has not been resolved, and knowledge of the 3D structure of GALR2 may prove informative in attempts to design novel ligands and to explore the mechanism for the allosteric modulation of this receptor. In this study, homology modeling was used to obtain several GALR2 models using known templates. ProSA-web Z-scores and Ramachandran plots as well as pre-screening against a test dataset of known compounds were all utilized to select the best model of GALR2. Molecular dockings of galanin (a peptide) and a nonpeptide ligand were carried out to choose the (GALR2 model)–galanin complex that showed the closest agreement with the corresponding experimental data. Finally, a 50-ns MD simulation was performed to study the interactions between the GALR2 model and the synthetic and endogenous ligands. The results from docking and MD simulation showed that, besides the reported residues, Tyr160^4.60, Ile105^3.32, Ala274^7.35, and Tyr163^ECL2 also appear to play important roles in the binding of galanin. The potential allosteric binding pockets in the GALR2 model were then investigated via MD simulation. The results indicated that the mechanism for the allosteric modulation caused by PAMs is the binding of the PAM at pocket III, which is formed by galanin, ECL2, TM2, TM3, and ECL1; this results in the disruption of the Na⁺-binding site and/or the Na⁺ ion pathway, leading to GALR2 agonism.     

Insights into structure and function of SHIP2-SH2: homology modeling, docking, and molecular dynamics study

SRC homology 2 (SH2)-containing inositol 5′-phosphatase protein (SHIP2) is a potential target for type 2 diabetes. Its ability to dephosphorylate the lipid messenger phosphatidylinositol 3,4,5-trisphosphate [PtdIns(3,4,5)P3], important for insulin signaling, makes it an important target against type 2 diabetes. The insulin-induced SHIP2 interaction with Shc is very important for the membrane localization and functioning of SHIP2. There is a bidentate relationship between the two proteins where two domains each from SHIP2 and Shc are involved in mutual binding. However in the present study, the SHIP2-SH2 domain binding with the phosphorylated tyrosine 317 on the collagen-homology (CH) domain of Shc, has been studied due to the indispensability of this interaction in SHIP2 localization. In the absence of the crystal structure of SHIP2-SH2, its structural model was developed followed by tracking its molecular interactions with Shc through molecular docking and dynamics studies. This study revealed much about the structural interactions between the SHIP2-SH2 and Shc-CH. Finally, docking study of a nonpeptide inhibitor into the SHIP2-SH2 domain further confirmed the structural interactions involved in ligand binding and also proposed the inhibitor as a major starting point against SHIP2-SH2 inhibition. The insights gained from the current study should prove useful in the design of more potent inhibitors against type 2 diabetes.     

Homology modeling of dopamine d(2) and d(3) receptors: molecular dynamics refinement and docking evaluation

Dopamine (DA) receptors, a class of G-protein coupled receptors (GPCRs), have been targeted for drug development for the treatment of neurological, psychiatric and ocular disorders. The lack of structural information about GPCRs and their ligand complexes has prompted the development of homology models of these proteins aimed at structure-based drug design. Crystal structure of human dopamine D(3) (hD(3)) receptor has been recently solved. Based on the hD(3) receptor crystal structure we generated dopamine D(2) and D(3) receptor models and refined them with molecular dynamics (MD) protocol. Refined structures, obtained from the MD simulations in membrane environment, were subsequently used in molecular docking studies in order to investigate potential sites of interaction. The structure of hD(3) and hD(2L) receptors was differentiated by means of MD simulations and D(3) selective ligands were discriminated, in terms of binding energy, by docking calculation. Robust correlation of computed and experimental K(i) was obtained for hD(3) and hD(2L) receptor ligands. In conclusion, the present computational approach seems suitable to build and refine structure models of homologous dopamine receptors that may be of value for structure-based drug discovery of selective dopaminergic ligands.     

Homology modeling,molecular dynamic simulation and docking studies of cyclin dependent kinase 1

In order to develop promising cyclin dependent kinase 1 inhibitors, homology modeling, docking and molecular dynamic simulation techniques were applied to get insight into the functional and structural properties of cyclin dependent kinase 1 (CDK1). Since there is no reported CDK1 crystal structural data, the three dimensional structure of CDK1 was constructed based on homology modeling. An extensive dynamic simulation was also performed on a Flavopiridol-CDK1 complex for probing the binding pattern of Flavopiridol in the active site of CDK1. The binding modes of other inhibitors to CDK1 were also proposed by molecular docking. The structural requirement for developing more potent CDK1 inhibitors was obtained by the above-mentioned molecular simulations and pharmacophore modeling.     

The quaternary structure of the Saccharomyces cerevisiae succinate dehydrogenase. Homology modeling, cofactor docking, and molecular dynamics simulation studies

Succinate dehydrogenases and fumarate reductases are complex mitochondrial or bacterial respiratory chain proteins with remarkably similar structures and functions. Succinate dehydrogenase oxidizes succinate and reduces ubiquinone using a flavin adenine dinucleotide cofactor and iron-sulfur clusters to transport electrons. A model of the quaternary structure of the tetrameric Saccharomyces cerevisiae succinate dehydrogenase was constructed based on the crystal structures of the Escherichia coli succinate dehydrogenase, the E. coli fumarate reductase, and the Wolinella succinogenes fumarate reductase. One FAD and three iron-sulfur clusters were docked into the Sdh1p and Sdh2p catalytic dimer. One b-type heme and two ubiquinone or inhibitor analog molecules were docked into the Sdh3p and Sdh4p membrane dimer. The model is consistent with numerous experimental observations. The calculated free energies of inhibitor binding are in excellent agreement with the experimentally determined inhibitory constants. Functionally important residues identified by mutagenesis of the SDH3 and SDH4 genes are located near the two proposed quinone-binding sites, which are separated by the heme. The proximal quinone-binding site, located nearest the catalytic dimer, has a considerably more polar environment than the distal site. Alternative low energy conformations of the membrane subunits were explored in a molecular dynamics simulation of the dimer embedded in a phospholipid bilayer. The simulation offers insight into why Sdh4p Cys-78 may be serving as the second axial ligand for the heme instead of a histidine residue. We discuss the possible roles of heme and of the two quinone-binding sites in electron transport.     

Development of a theoretical model for the inhibition of nsP3 protease of Chikungunya virus using pyranooxazoles

Abstract

Chikungunya virus (CHIKV) causes Chikungunya fever (CHIKF) and till date no effective medicine for its cure is available in market. Different research groups find various possible interactions between small molecules and non-structural proteins, viz. nsP3, one of the most important viral elements in CHIKV. In this work, authors have studied the interactions of nsP3 protease of CHIKV with pyranooxazoles. Initially, a one-pot three-component reaction was designed using oxazolidine-2,4-dione, benzaldehyde and cyanoethylacetate to get a proposed biological active molecule, i.e. based on pyranooxazoles. The mechanism for the synthesis of the product based on pyranooxazole was studied through density functional theory (DFT) using Gaussian. Then, a library of the obtained pyranooxazole was created through computational tools by varying the substituents. Further, virtual screening of the designed library of pyranooxazoles (200 compounds) against nsP3 protease of CHIKV was performed. Herein, CMPD 104 showed strongest binding affinity toward the targeted nsP3 protease of CHIKV, based on the least binding energy obtained from docking. Based on docking results, the pharmacological, toxicity, biological score and Lipinski’s filters were studied. Further, DFT studies of top five compounds were done using Gaussian. Molecular dynamics (MD) simulation of nsP3 protease of CHIKV with and without 104 was performed using AMBER18 utilizing ff14SB force field in three steps (minimization, equilibration and production). This work is emphasized to designing of one-pot three-component synthesis and to develop a theoretical model to inhibit the nsP3 protease of CHIKV. Abbreviations CHIKF Chikungunya fever

CHIKV Chikungunya virus

DFT density functional theory

DS Discovery Studio

MD molecular dynamics

MM-GBSA molecular mechanics-generalized born surface area

MMV Molegro molecular viewer

Communicated by Ramaswamy H. Sarma     

Homology modeling,substrate docking,and molecular simulation studies of mycobacteriophage Che12 lysin A

Mycobacteriophages produce lysins that break down the host cell wall at the end of lytic cycle to release their progenies. The ability to lyse mycobacterial cells makes the lysins significant. Mycobacteriophage Che12 is the first reported temperate phage capable of infecting and lysogenising Mycobacterium tuberculosis. Gp11 of Che12 was found to have Chitinase domain that serves as endolysin (lysin A) for Che12. Structure of gp11 was modeled and evaluated using Ramachandran plot in which 98 % of the residues are in the favored and allowed regions. Che12 lysin A was predicted to act on NAG-NAM-NAG molecules in the peptidoglycan of cell wall. The tautomers of NAG-NAM-NAG molecule were generated and docked with lysin A. The stability and binding affinity of lysin A – NAG-NAM-NAG tautomers were studied using molecular dynamics simulations.     

Homology modeling, molecular docking and electrostatic potential analysis of MurF ligase from Klebsiella pneumonia

In spite of availability of moderately protective vaccine and antibiotics, new antibacterial agents are urgently needed to decrease the global incidence of Klebsiella pneumonia infections. MurF ligase, a key enzyme, which participates in the bacterial cell wall assembly, is indispensable to existence of K. pneumonia. MurF ligase lack mammalian vis-à-vis and have high specificity, uniqueness, and occurrence only in eubacteria, epitomizing them as promising therapeutic targets for intervention. In this study, we present a unified approach involving homology modeling and molecular docking studies on MurF ligase enzyme. As part of this study, a homology model of K. pneumonia (MurF ligase) enzyme was predicted for the first time in order to carry out structurebased drug design. The accuracy of the model was further validated using different computational approaches. The comparative molecular docking study on this enzyme was undertaken using different phyto-ligands from Desmodium sp. and a known antibiotic Ciprofloxacin. The docking analysis indicated the importance of hotspots (HIS 281 and ASN 282) within the MurF binding pocket. The Lipinski's rule of five was analyzed for all ligands considered for this study by calculating the ADME/Tox, drug likeliness using Qikprop simulation. Only ten ligands were found to comply with the Lipinski rule of five. Based on the molecular docking results and Lipinki values 6-Methyltetrapterol A was confirmed as a promising lead compound. The present study should therefore play a guiding role in the experimental design and development of 6-Methyltetrapterol A as a bactericidal agent.     

Regioselectivity of CYP2B6: homology modeling,molecular dynamics simulation,docking

Human cytochrome P450 (CYP) 2B6 activates the anticancer prodrug cyclophosphamide (CPA) by 4-hydroxylation. In contrast, the same enzyme catalyzes N-deethylation of a structural isomer, the prodrug ifosfamide (IFA), thus causing severe adverse drug effects. To model the molecular interactions leading to a switch in regioselectivity, the structure of CYP2B6 was modeled based on the structure of rabbit CYP2C5. We modeled the missing 22-residue loop in CYP2C5 between helices F and G (the F-G loop), which is not resolved in the X-ray structure, by molecular dynamics (MD) simulations using a simulated annealing protocol. The modeled conformation of the loop was validated by unconstrained MD simulations of the complete enzymes (CYP2C5 and CYP2B6) in water for 70 and 120 ps, respectively. The simulations were stable and led to a backbone r.m.s. deviation of 1.7 A between the two CYPs.The shape of the substrate binding site of CYP2B6 was further analyzed. It consists of three well-defined hydrophobic binding pockets adjacent to the catalytic heme. Size, shape and hydrophobicity of these pockets were compared to the shapes of the two structurally isomeric substrates. In their preferred orientation in the binding site, both substrates fill all three binding pockets without repulsive interactions. The distance to the heme iron is short enough for 4-hydroxylation and N-deethylation to occur for CPA and IFA, respectively. However, if the substrates are docked in the non-preferred orientation (such that 4-hydroxylation and N-deethylation would occur for IFA and CPA, respectively), one pocket is left empty, and clashes were observed between the substrates and the enzyme.