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Results for “molecular docking”

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PubMed1997

Specificity in structure-based drug design: identification of a novel, selective inhibitor of Pneumocystis carinii dihydrofolate reductase.

Specificity is an important aspect of structure-based drug design. Distinguishing between related targets in different organisms is often the key to therapeutic success. Pneumocystis carinii is a fungal opportunist which causes a crippling pneumonia in immunocompromised individuals. We report the identification of novel inhibitors of P. carinii dihydrofolate reductase (DHFR) that are selective versus inhibition of human DHFR using computational molecular docking techniques. The Fine Chemicals Directory, a database of commercially available compounds, was screened with the DOCK program suite to produce a list of potential P. carinii DHFR inhibitors. We then used a postdocking refinement directed at discerning subtle structural and chemical features that might reflect species specificity. Of 40 compounds predicted to exhibit anti-Pneumocystis DHFR activity, each of novel chemical framework, 13 (33%) show IC50 values better than 150 microM in an enzyme assay. These inhibitors were further assayed against human DHFR: 10 of the 13 (77%) bind preferentially to the fungal enzyme. The most potent compound identified is a 7 microM inhibitor of P. carinii DHFR with 25-fold selectivity. The ability of molecular docking methods to locate selective inhibitors reinforces our view of structure-based drug discovery as a valuable strategy, not only for identifying lead compounds, but also for addressing receptor specificity.

Antifungal Agents↗

PubMed2006

Identification of the binding region of the [2Fe-2S] ferredoxin in stearoyl-acyl carrier protein desaturase: insight into the catalytic complex and mechanism of action.

Stearoyl-acyl carrier protein desaturase (Delta9D) catalyzes the O(2) and 2e(-) dependent desaturation of stearoyl-acyl carrier protein (18:0-ACP) to yield oleoyl-ACP (18:1-ACP). The 2e(-) are provided by essential interactions with reduced plant-type [2Fe-2S] ferredoxin (Fd). We have investigated the protein-protein interface involved in the Fd-Delta9D complex by the use of chemical cross-linking, site-directed mutagenesis, steady-state kinetic approaches, and molecular docking studies. The treatment of the different proteins with 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide and N-hydroxysuccinimide revealed that carboxylate residues from Fd and lysine residues from Delta9D contribute to cross-linking. The single substitutions of K60A, K56A, and K230A on Delta9D decreased the k(cat)/K(M) for Fd by 4-, 22-, and 2400-fold, respectively, as compared to wt Delta9D and a K41A substitution. The double substitution K56A/K60A decreased the k(cat)/K(M) for Fd by 250-fold, whereas the triple mutation K56A/K60A/K230A decreased the k(cat)/K(M) for Fd by at least 700 000-fold. These results strongly implicate the triad of K56, K60, and K230 of Delta9D in the formation of a catalytic complex with Fd. Molecular docking studies indicate that electrostatic interactions between K56 and K60 and the carboxylate groups on Fd may situate the [2Fe-2S] cluster of Fd closer to W62, a surface residue that is structurally conserved in both ribonucleotide reductase and mycobacterial putative acyl-ACP desaturase DesA2. Owing to the considerably larger effects on catalysis, K230 appears to have other contributions to catalysis arising from its positioning in helix 7 and its close spatial location to the diiron center ligands E229 and H232. These results are considered in the light of the presently available models for Fd-mediated electron transfer in Delta9D and other protein-protein complexes.

Binding Sites↗

PubMed2006

Gastrodin interaction with human fibrinogen: anticoagulant effects and binding studies.

In an effort to identify the anticoagulant activity of gastrodin (GAS) and to investigate the possibility of its use as a novel anticoagulant drug, the binding characteristics of GAS to human fibrinogen (Fg) were studied by using a quartz crystal microbalance (QCM) biosensor, anticoagulant animal experiments, and a molecular docking simulation. Real-time kinetic analysis with the QCM biosensor revealed that the in vitro binding of GAS to Fg was strong under physiological ionic conditions as the determined equilibrium dissociation constant (KD) was 1.94 x 10(-6) M. To check whether this strong binding may influence the natural coagulation function of Fg, the in vivo effect of GAS on the coagulation system of rats was examined. The results showed that GAS can significantly prolong the coagulation time (CT) and decrease the Fg content, while it had no effect on the activated kaolin partial thromboplastin time (KPTT) or prothrombin time (PT) in rats. To clarify the mechanism of the specific interaction, a molecular docking simulation was also performed to provide reasonable binding models for the interaction of GAS with Fg at the atomic level. GAS binds strongly to the inherent polymerization sites "a" and "b" (holes) on the Fg molecule with similar binding free energies of about -34 kJ mol(-1). Altogether, these findings confirmed first that GAS possesses anticoagulant activity and that the possible anticoagulation mechanism of GAS mainly involves its interference with the knob-to-hole interactions between fibrin molecules, thereby effectively inhibiting the formation of clots and decreasing the risk of thrombosis. The study has also shown the potential usefulness of QCM biosensor technology for the rapid screening of drug-protein interactions.

Animals↗

PubMed2026

Multimodal Analysis Reveals Aberrant Expression of SUMO2 and Its Significant Association With Key Mechanisms of Metabolic Pathways in Hepatocellular Carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide. However, the role of small ubiquitin-like modifier 2 (SUMO2), a core member of the small ubiquitin-like modifier (SUMO) family, regarding its expression patterns and metabolism-related functions in HCC remains inadequately understood. METHODS: A multidimensional analytical framework was applied, integrating immunohistochemistry (153 HCC vs. 21 non-HCC samples), proteomics (159 paired samples), bulk transcriptomics (3240 HCC vs. 2267 non-HCC samples), single-cell RNA sequencing (RNA-seq) (10 HCC vs. 8 non-HCC samples), spatial transcriptomics, and external CRISPR/Cas9 functional genomics data. Systematic analyses included standardized mean difference (SMD), pathway enrichment, pseudotime trajectory inference, in silico knockout, cell-cell communication, metabolic flux scoring, immune infiltration, clinical correlation, drug sensitivity prediction, and molecular docking. RESULTS: At the protein level, immunohistochemistry (nuclear positivity) and external proteomic data collectively demonstrated consistent SUMO2 overexpression in HCC. Consistent upregulation was also observed at the mRNA level across large-scale cohorts. Single-cell RNA-seq and spatial transcriptomics localized SUMO2 enrichment to malignant hepatocytes and tumor-dominant regions. CRISPR-mediated SUMO2 knockout suppressed proliferation in multiple HCC cell lines. Mechanistically, high SUMO2 expression was significantly associated with metabolic reprogramming involving glycolysis/gluconeogenesis, pyruvate metabolism, and the tricarboxylic acid cycle. SUMO2-high malignant hepatocyte subpopulations exhibited enhanced activity of the macrophage migration inhibitory factor signaling axis and enhanced iron-sensor interactions. Further, the immune infiltration analysis revealed a negative correlation between SUMO2 expression and M1 macrophages and a positive correlation between follicular helper T cells and regulatory T cells. Clinically, elevated SUMO2 levels were found to be associated with adverse prognostic features. Furthermore, high SUMO2 expression was associated with increased sensitivity to dasatinib, and molecular docking simulations predicted potential binding between SUMO2 and dasatinib, with a Vina score of -8.5 kcal/mol. CONCLUSIONS: SUMO2 is aberrantly expressed at the protein, mRNA, single-cell, and spatial transcriptomic levels in HCC and is significantly associated with metabolic reprogramming and altered migration inhibitory factor (MIF)-mediated intercellular communication, suggesting its potential as a novel biomarker for diagnosis and treatment.

Humans↗

PubMed2026

Genome-Wide Analysis of Triticum aestivum Root Meristem Growth Factor (RGF) Gene Family Highlights TaRGF5 as a Putative Component of Root-Associated Signaling.

Wheat (Triticum aestivum), a key global crop, faces rising drought stress that limits root growth and water uptake. Root meristem growth factors (RGFs) are small peptides that regulate root stem cell maintenance, meristem activity, and lateral root formation in model plants, yet the RGF gene family remains unexplored in wheat. Here, we performed a comprehensive genome-wide analysis of the TaRGF gene family, identifying 15 genes distributed across the A, B, and D subgenomes and classified into five homeologous groups (TaRGF1-TaRGF5), predominantly located on chromosomes 2 and 6. All TaRGFs contained a characteristic RGF motif, with dibasic cleavage sites and Asp-Tyr motifs indicating conserved maturation mechanisms. Based on the phylogenetic analysis, the TaRGF5 homeologs showed the highest similarity to Arabidopsis thaliana RGF5. Tested RNA-seq data revealed predominantly root-enriched expression for all TaRGF genes, with TaRGF5 exhibiting the most root-preferential and downregulation under drought stress. Quantitative real-time PCR (qRT-PCR) confirmed that drought stress suppressed the expression of TaRGF5A, TaRGF5B, and TaRGF5D in roots of wheat cultivar Sids-13 across all time points, unlike the higher accumulation seen in controls. Promoter analysis predicted a unique BES1 transcription factor binding site exclusively in TaRGF5B, linking brassinosteroid signaling to peptide-mediated root regulation. Structural modeling and molecular docking predicted an interaction between wheat TaRGF5 homeologs and root growth factor-insensitive receptor kinase (TaRGI3), characterized by conserved sulfotyrosine-mediated binding and favorable interaction energetics. Based on this characterization of the wheat RGF gene family, particularly the potential role of TaRGF5 in root development and drought-adaptation signaling, we propose targeting this gene for functional analysis to improve wheat resilience under water-limited conditions.

Triticum↗

PubMed2006

Molecular docking-based study of vasopressin analogues modified at positions 2 and 3 with N-methylphenylalanine: influence on receptor-bound conformations and interactions with vasopressin and oxytocin receptors.

In this study, four cyclic vasopressin (CYFQNCPRG-NH(2), AVP) analogues substituted at positions 2 and 3 with four combinations of enantiomers of N-methylphenylalanine have been investigated. Three-dimensional structures of analogues have been formerly determined using NMR spectroscopy in dimethyl sulfoxide. Three-dimensional models of the vasopressin and oxytocin receptors were constructed by combining the multiple sequence alignment and the RD crystal structure as a template. The analogues have been docked into the receptor using the AutoDock program. The relaxation of the receptor-ligand complexes using energy minimization, followed by the constrained simulated annealing protocols (CSA), has been performed. The receptor-bound conformations of the investigated analogues have been proposed. We concluded that the N-methylated residues at positions 2 and 3 act as a structural restraint, determining the conformation of analogues, their location inside the receptor cavity, and mutual arrangement of the aromatic side chains. The conserved polar residues constitute the handles keeping the biologically active analogues inside the binding cavity. The Arg(8)-D(2.65) salt bridge might be responsible for analogue-selective binding in OTR and V1aR versus V2R, where the positively charged K(2.65) 100 is present at the equivalent position.

Amino Acid Sequence↗

PubMed2005

Molecular basis for the enantioselective binding of a novel class of cytochrome bc1 complex inhibitors.

The recently solved co-crystal structures of mitochondrial cytochrome bc1 complex with inhibitors have provided an important structural framework for the elucidation of modes of binding of various bc1 complex inhibitors. N-Phenyl triazolones, a novel class of bc1 complex ubiquinol oxidation (Qo)-site inhibitors, were found to exhibit atropisomerism; in few cases, the atropisomers were resolved and shown to express different biological activities. However, the underlying mechanism for such differential binding of the enantiomers to bc1 complex is unknown. Here molecular docking is used to examine the binding modes of the N-phenyl triazolones fungicides. Our docking studies allow the molecular basis for the enantioselective binding of atropisomeric triazolones to be elucidated. Furthermore, the mode of binding of azoxystrobin has also been clarified.

Electron Transport Complex III↗

PubMed2002

Analysis of ice-binding sites in fish type II antifreeze protein by quantum mechanics.

Many organisms living in cold environments can survive subzero temperatures by producing antifreeze proteins (AFPs) or antifreeze glycoproteins. In this paper we investigate the ice-binding surface of type II AFP by quantum mechanical methods, which, to the best of our knowledge, represents the first time that molecular orbital computational approaches have been applied to AFPs. Molecular mechanical approaches, including molecular docking, energy minimization, and molecular dynamics simulation, were used to obtain optimal systems for subsequent quantum mechanical analysis. We selected 17 surface patches covering the entire surface of the type II AFP and evaluated the interaction energy between each of these patches and two different ice planes using semi-empirical quantum mechanical methods. We have demonstrated the weak orbital overlay phenomenon and the change of bond orders in ice. These results consistently indicate that a surface patch containing 19 residues (K37, L38, Y20, E22, Y21, I19, L57, T56, F53, M127, T128, F129, R17, C7, N6, P5, G10, Q1, and W11) is the most favorable ice-binding site for both a regular ice plane and an ice plane where water O atoms are randomly positioned. Furthermore, for the first time the computation results provide new insights into the weakening of the ice lattice upon AFP binding, which may well be a primary factor leading to AFP-induced ice growth inhibition.

Animals↗

PubMed1999

Ice-binding surface of fish type III antifreeze.

We employed computational techniques, including molecular docking, energy minimization, and molecular dynamics simulation, to investigate the ice-binding surface of fish type III antifreeze protein (AFP). The putative ice-binding site was previously identified by mutagenesis, structural analysis, and flatness evaluation. Using a high-resolution x-ray structure of fish type III AFP as a model, we calculated the ice-binding interaction energy of 11 surface patches chosen to cover the entire surface of the protein. These various surface patches exhibit small but significantly different ice-binding interaction energies. For both the prism ice plane and an "ice" plane in which water O atoms are randomly positioned, our calculations show that a surface patch containing 14 residues (L19, V20, T18, S42, V41, Q9, P12, A16, M21, T15, Q44, I13, N14, K61) has the most favorable interaction energy and corresponds to the previously identified ice-binding site of type III AFP. Although in general agreement with the earlier studies, our results also suggest that the ice-binding site may be larger than the previously identified "core" cluster that includes mostly hydrophilic residues. The enlargement mainly results from the inclusion of peripheral hydrophobic residues and K61.

Amino Acid Sequence↗

PubMed2005

Virtual screening of HIV-1 protease inhibitors against human cytomegalovirus protease using docking and molecular dynamics.

The clearance of cytomegalovirus viraemia in HIV-1-infected patients may partly result from the inhibition of cytomegalovirus protease by HIV-1 protease inhibitors contained in highly active antiretroviral therapy. We used a computational method to calculate the binding affinity of six HIV-1 protease inhibitors to cytomegalovirus protease based on its X-ray crystallography structure. The calculations showed that amprenavir and indinavir occupy the substrate-binding site of the cytomegalovirus protease with high affinity, and may be implicated in alleviating cytomegalovirus infection.

AIDS-Related Opportunistic Infections↗

PubMed2006

The betaI/betaIII-tubulin isoforms and their complexes with antimitotic agents. Docking and molecular dynamics studies.

Both microtubule destabilizer and stabilizer agents are important molecules in anticancer therapy. In particular, paclitaxel has been demonstrated to be effective for the treatment of ovarian, breast, and nonsmall cell lung carcinomas. It has been shown that emergence of resistance against this agent correlates with an increase in the relative abundance of tubulin isoform betaIII and that the more recently discovered IDN5390 can be effectively used once resistance has emerged. In this paper, we analyze the binding modes of these antimitotic agents to type I and III isoforms of beta-tubulin by computational methods. Our results are able to provide a molecular explanation of the experimental data. Using the same protocol, we could also show that no preference for any of the two isoforms can be detected for epothilone A, a potentially very interesting drug for which no data about the emergence of resistance is currently available. Our analysis provides structural insights about the recognition mode and the stabilization mechanism of these antimitotic agents and provides useful suggestions for the design of more potent and selective antimitotic agents.

Algorithms↗

PubMed1998

A method for biomolecular structural recognition and docking allowing conformational flexibility.

In this work, we present an algorithm developed to handle biomolecular structural recognition problems, as part of an interdisciplinary research endeavor of the Computer Vision and Molecular Biology fields. A key problem in rational drug design and in biomolecular structural recognition is the generation of binding modes between two molecules, also known as molecular docking. Geometrical fitness is a necessary condition for molecular interaction. Hence, docking a ligand (e.g., a drug molecule or a protein molecule), to a protein receptor (e.g., enzyme), involves recognition of molecular surfaces. Conformational transitions by "hinge-bending" involves rotational movements of relatively rigid parts with respect to each other. The generation of docked binding modes between two associating molecules depends on their three dimensional structures (3-D) and their conformational flexibility. In comparison to the particular case of rigid-body docking, the computational difficulty grows considerably when taking into account the additional degrees of freedom intrinsic to the flexible molecular docking problem. Previous docking techniques have enabled hinge movements only within small ligands. Partial flexibility in the receptor molecule is enabled by a few techniques. Hinge-bending motions of protein receptors domains are not addressed by these methods, although these types of transitions are significant, e.g., in enzymes activity. Our approach allows hinge induced motions to exist in either the receptor or the ligand molecules of diverse sizes. We allow domains/subdomains/group of atoms movements in either of the associating molecules. We achieve this by adapting a technique developed in Computer Vision and Robotics for the efficient recognition of partially occluded articulated objects. These types of objects consist of rigid parts which are connected by rotary joints (hinges). Our method is based on an extension and generalization of the Hough transform and the Geometric Hashing paradigms for rigid object recognition. We show experimental results obtained by the successful application of the algorithm to cases of bound and unbound molecular complexes, yielding fast matching times. While the "correct" molecular conformations of the known complexes are obtained with small RMS distances, additional, predictive good-fitting binding modes are generated as well. We conclude by discussing the algorithm's implications and extensions, as well as its application to investigations of protein structures in Molecular Biology and recognition problems in Computer Vision.

Algorithms↗

PubMed2001

Use of MM-PBSA in reproducing the binding free energies to HIV-1 RT of TIBO derivatives and predicting the binding mode to HIV-1 RT of efavirenz by docking and MM-PBSA.

In this work, a new ansatz is presented that combines molecular dynamics simulations with MM-PBSA (Molecular Mechanics Poisson-Boltzmann/surface area) to rank the binding affinities of 12 TIBO-like HIV-1 RT inhibitors. Encouraging results have been obtained not only for the relative binding free energies, but also for the absolute ones, which have a root-mean-square deviation of 1.0 kcal/mol (the maximum error is 1.89 kcal/mol). Since the root-mean-square error is rather small, this approach can be reliably applied in ranking the ligands from the databases for this important target. Encouraged by the results, we decided to apply MM-PBSA combined with molecular docking to determine the binding mode of efavirenz SUSTIVA(TM) another promising HIV-1 RT inhibitor for which no ligand-protein crystal structure had been published at the time of this work. To proceed, we define the following ansatz: Five hundred picosecond molecular dynamics simulations were first performed for the five binding modes suggested by DOCK 4.0, and then MM-PBSA was carried out for the collected snapshots. MM-PBSA successfully identified the correct binding mode, which has a binding free energy about 7 kcal/mol more favorable than the second best mode. Moreover, the calculated binding free energy (-13.2 kcal/mol) is in reasonable agreement with experiment (-11.6 kcal/mol). In addition, this procedure was also quite successful in modeling the complex and the structure of the last snapshot was quite close to that of the measured 2,3 A resolution crystal (structure the root-mean-square deviation of the 54 C(alpha) around the binding site and the inhibitor is 1.1 A). We want to point out that this result was achieved without prior knowledge of the structure of the efavirenz/RT complex. Therefore, molecular docking combined with MD simulations followed by MM-PBSA analysis is an attractive approach for modeling protein complexes a priori.

Alkynes↗

PubMed2025

Exploring effector protein dynamics and natural fungicidal potential in rice blast pathogen Magnaporthe oryzae.

Rice blast, caused by Magnaporthe oryzae, is one of the most destructive fungal diseases in rice, resulting in major economic losses worldwide. Genetic and genomic studies have identified key genes and proteins, such as AvrPik variants and MAX proteins, that are crucial for the pathogen's virulence. These effector proteins interact with specific alleles of the Pik gene family on rice chromosome 11, modulating the host's immune response. In this study, we investigated 35 plant-derived metabolites known for their antifungal properties as potential fungicides against M. oryzae. Using molecular docking, we identified Hecogenin and Cucurbitacin E as strong binders to MAX40 and APIKL2A proteins, which are essential for the fungus's immune evasion and pathogenicity. Molecular dynamics simulations further confirmed that these compounds form stable, strong interactions with the target proteins, validating their potential as therapeutic agents. Additionally, the compounds were evaluated based on Lipinski's rule of five and toxicity predictions, indicating their suitability for agricultural use. These results suggest that Hecogenin and Cucurbitacin E could serve as promising lead candidates in the development of novel fungicides for rice blast, offering new strategies for crop protection and sustainable agricultural practices.

Oryza↗

PubMed2023

Structural and functional insights into a novel homozygous missense pathogenic variant in CUL7 identified in consanguineous Pakistani family.

3M syndrome is a rare genetic familial disorder characterized by short stature, growth retardation, facial dysmorphism, skeletal abnormalities, fleshy protruding heels, and normal intelligence, caused by mutations in the CUL7, OBSL1 and CCDC8 genes. In the present study, a novel homozygous missense variant of CUL7 (NP_001161842.1, c.4493T > C, p.L1498P) has been identified in a consanguineous Pakistani family by whole exome sequencing. In silico structural evaluation, molecular docking and simulation studies of mutant CUL7 provides substantial evidence about its crucial role in the progression of discussed ailment. The newly discovered variant significantly altered the protein's three dimensional structure, leading to abnormal interaction with binding proteins. This computational and experimental investigation provides useful information to drug developers for the synthesis of novel therapeutics against the discussed ailment.Communicated by Ramaswamy H. Sarma.

Humans↗

PubMed2026

Genomic and Molecular Interaction Analysis of NodD1 in a Novel Bradyrhizobium yuanmingense sp. B64 Isolate for Nodulation and Symbiosis of Legume Plants.

Rhizobial bacteria are known for their ability to fix nitrogen for leguminous plants and their essential function for sustainable agriculture. This study characterizes the taxonomic status and functional potential of the Bradyrhizobium B64 isolate using integrated genomic and molecular approaches. The whole genome of the B64 isolate was sequenced via Illumina paired-end technology. Species delimitation was performed using average nucleotide identity (ANI) and digital DNA-DNA Hybridization (dDDH). The NodD1 protein structure was modeled using AlphaFold3 and validated by Ramachandran plot analysis. Molecular docking was then conducted to evaluate interactions between NodD1 and four signaling flavonoids: Apigenin, Daidzein, Genistein, and Naringenin. Genomic analysis revealed a maximum ANI of 94.4% and dDDH values between 51.4 and 62.4%. Since these values fall below the standard prokaryotic thresholds (ANI < 95%; dDDH < 70%), the B64 isolate is identified as a novel species. Physiological assays confirmed nitrogen fixation (1.97 ppm), IAA production (3.67 ppm), and phosphate solubilization (26.10 ppm). Structural validation showed 100% of NodD1 residues in allowed regions, ensuring high model reliability. Docking simulations demonstrated strong binding affinities across all flavonoids, with binding free energies ranging from - 8.8 to - 9.0 kcal/mol. Daidzein exhibited the highest thermodynamic stability (- 9.0 kcal/mol), whereas apigenin showed the most extensive residue interaction network. The B64 isolate is a novel Bradyrhizobium species with a high symbiotic capacity. The stable NodD1-flavonoid interactions provide a molecular basis for efficient nodulation, positioning B64 as a promising candidate for developing lipo-chitooligosaccharide (LCO)-based biofertilizers.

Bradyrhizobium↗

PubMed2026

Quantifying the peripheral surface information entropy from conformational ensembles of globular protein-peptide complexes.

Predicting favorable protein-peptide binding events remains a central challenge in biophysics, with continued uncertainty surrounding how nonlocal effects shape the global energy landscape. Here, we introduce peripheral surface information entropy, SΨ, a quantitative measure of the statistical variability in apolar and charged non-interacting surface (NIS) proportions across conformational ensembles. Within the Gibbs free-energy relation ΔG = ΔH - TΔS, SΨ is proposed as a computationally tractable entropic proxy rather than a direct thermodynamic observable or stand-alone estimator of binding affinity. Using energy-directed molecular docking via HADDOCK3 and explicit-solvent molecular dynamics simulations, it is demonstrated that favorable binding partners exhibit emergent, low-entropy N-states (discrete macrostates in NIS state space) indicative of preferential apolar/charged surface configurations. Across dozens of peptides and multiple receptor systems (WW, PDZ, and MDM2 domains), dominant N-states persisted under varied docking parameters and initial conditions. A meta-ensemble of 657 complexes from 36 experiments over 15 years confirmed the presence of dominant NIS modes independent of in silico methodology, suggesting an evolutionary selection pressure toward specific NIS fingerprints. These findings establish SΨ as a thermoinformatic descriptor that encodes favorable binding constraints into unique statistical signatures of the NIS.

Entropy↗

PubMed2005

Rational design of potent mimic peptide derived from monoclonal antibody: antibody mimic design.

The variable regions of antibody molecules bind antigens with high affinity and specificity. The binding sites are imparted largely to the hypervariable portions (i.e. CDRs) of the variable region. Peptides derived from antibody CDRs can bind antigen with similar specificity acted as mimic of antibody and become drug-designing core, although with markedly lower affinity. In this study, the 3D complex structure of tumor necrosis factor-alpha (TNFalpha) and its neutralizing monoclonal antibody Z12 was modeled using molecular docking method and optimized with molecular mechanism and dynamics method. The binding domains between TNFalpha and Z12 were determined theoretically and functional antigen epitopes were predicted. According to the 3D complex structure of TNFalpha and Z12, a novel antagonist peptide, named PT1, was designed theoretically. The experimental result showed that PT1 possessed significantly binding inhibition of TNFalpha to Z12 and protected L929 cells from the cytotoxic effect of TNFalpha. The designed mimic peptide was more amenable to synthetic chemistry and thus might be useful starting points for the design of smaller organic mimics.

Amino Acid Sequence↗