Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:3.4.23.16 (HIV-1 protease)
 2,107 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

A synthetic gene coding for HIV-1 protease (PR) has been constructed and a system for its efficient expression in E. coli has been established: PR is synthesized as a fusion protein with E. coli dihydrofolate reductase under the control of a bacteriophage T7 promoter. The synthetic gene was constructed to enable rapid construction of defined mutants by restriction fragment replacement. A set of mutants has been constructed which may facilitate elucidation of the mechanism of PR self-cleavage from polyprotein precursors. We have demonstrated that the C-terminal residue (Phe99 in the native sequence) of the processing intermediate is absolutely required for subsequent cleavage at the N-terminal cleavage site. The potential structural role of this residue is discussed with reference to the recently published HIV-1 PR structure.
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PMID:High-level expression of self-processed HIV-1 protease in Escherichia coli using a synthetic gene. 266 71

An approach to de novo molecular design, PRO-LIGAND, has been developed that, in the environment of a large, integrated molecular design and simulation system, provides a unified framework for the generation of novel molecules which are either similar or complementary to a specified target. The approach is based on a methodology that has proved to be effective in other studies--placing molecular fragments upon target interaction sites-but incorporates many novel features such as the use of a rapid graph-theoretical algorithm for fragment placing, a generalised driver for structure generation which offers a large variety of fragment assembly strategies to the user and the pre-screening of library fragments. After a detailed description of the relevant modules of the package, PRO-LIGAND's efficacy in aiding rational drug design is demonstrated by its ability to design mimics of methotrexate and potential inhibitors for dihydrofolate reductase and HIV-1 protease.
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PMID:PRO-LIGAND: an approach to de novo molecular design. 1. Application to the design of organic molecules. 775 67

A new computational method for the in situ generation of small molecules within the binding site of a protein is described. The method has been evaluated using two well-studied systems, dihydrofolate reductase and thymidylate synthase. The method has also been used to guide improvements to inhibitors of HIV-1 protease. One such improvement resulted in a compound selected for preclinical studies as an antiviral agent against AIDS.
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PMID:De novo design of enzyme inhibitors by Monte Carlo ligand generation. 785 40

This paper describes the further development of the functionality of our in-house de novo design program, PRO_LIGAND. In particular, attention is focused on the implementation and validation of the 'direct tweak' method for the construction of conformationally flexible molecules, such as peptides, from molecular fragments. This flexible fitting method is compared to the original method based on libraries of prestored conformations for each fragment. It is shown that the directed tweak method produces results of comparable quality, with significant time savings. By removing the need to generate a set of representative conformers for any new library fragment, the flexible fitting method increases the speed and simplicity with which new fragments can be included in a fragment library and also reduces the disk space required for library storage. A further improvement to the molecular construction process within PRO_LIGAND is the inclusion of a constrained minimisation procedure which relaxes fragments onto the design model and can be used to reject highly strained structures during the structure generation phase. This relaxation is shown to be very useful in simple test cases, but restricts diversity for more realistic examples. The advantages and disadvantages of these additions to the PRO_LIGAND methodology are illustrated by three examples: similar design to an alpha helix region of dihydrofolate reductase, complementary design to the active site of HIV-1 protease and similar design to an epitope region of lysozyme.
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PMID:PRO_LIGAND: an approach to de novo molecular design. 6. Flexible fitting in the design of peptides. 859 56

An in vitro protein synthesizing system was modified to facilitate the improved, site-specific incorporation of unnatural amino acids into proteins via readthrough of mRNA nonsense (UAG) codons by chemically misacylated suppressor tRNAs. The modified system included an S-30 extract derived from Escherichia coli that expresses a temperature-sensitive variant of E. coli release factor 1 (RF1). Mild heat treatment of the S-30 extract partially deactivated RF1 and improved UAG codon readthrough by as much as 11-fold, as demonstrated by the incorporation of unnatural amino acids into positions 25 and 125 of HIV-1 protease and positions 10 and 22 of E. coli dihydrofolate reductase. The increases in yields were the greatest for those amino acids normally incorporated poorly in the in vitro protein synthesizing system, thus significantly enhancing the repertoire of modified amino acids that can be incorporated into the proteins of interest. The substantial increase in mutant protein yields over those obtained with an S-30 extract derived from an RF1 proficient E. coli strain is proposed to result from a relaxed stringency of termination by RF1 at the stop codon (UAG). When RF1 levels were depleted further, the intrinsic rate of DHFR synthesis increased, consistent with the possibility that RF1 competes not only at stop codons but also at other mRNA codons during peptide elongation. It thus seems possible that in addition to its currently accepted role as a protein factor involved in peptide termination, RF1 is also involved in functions that control the rate at which protein synthesis proceeds.
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PMID:Effects of release factor 1 on in vitro protein translation and the elaboration of proteins containing unnatural amino acids. 1039 57

The cleavage of a substrate protein by HIV-1 protease has been monitored in real time by the use of a dihydrofolate reductase fusion protein in which a fluorescence donor and a fluorescence acceptor were introduced into sites flanking the HIV-1 protease cleavage site. The amino acids 7-azatryptophan and dabcyl-1,2-diaminopropionic acid were introduced into specific sites of the DHFR fusion protein in an in vitro protein biosynthesizing system using two misacylated suppressor tRNAs, each of which recognized a specific, unique codon introduced into the mRNA. Excitation of the fluorescence acceptor in the initially expressed protein afforded no light production, consistent with quenching by fluorescence resonance energy transfer. Treatment of the elaborated protein with HIV-1 protease cleaved the protein between the fluorescence donor and acceptor, affording a time-dependent increase in fluorescence that was equal in magnitude to that produced by admixture of a stoichiometric amount of free 7-azatryptophan to the solution containing the intact protein.
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PMID:Fluorescence resonance energy transfer between unnatural amino acids in a structurally modified dihydrofolate reductase. 1217 3

Biomolecules often undergo large-amplitude motions when they bind or release other molecules. Unlike macroscopic machines, these biomolecular machines can partially disassemble (unfold) and then reassemble (fold) during such transitions. Here we put forward a minimal structure-based model, the "multiple-basin model," that can directly be used for molecular dynamics simulation of even very large biomolecular systems so long as the endpoints of the conformational change are known. We investigate the model by simulating large-scale motions of four proteins: glutamine-binding protein, S100A6, dihydrofolate reductase, and HIV-1 protease. The mechanisms of conformational transition depend on the protein basin topologies and change with temperature near the folding transition. The conformational transition rate varies linearly with driving force over a fairly large range. This linearity appears to be a consequence of partial unfolding during the conformational transition.
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PMID:Multiple-basin energy landscapes for large-amplitude conformational motions of proteins: Structure-based molecular dynamics simulations. 1687 41

Improving the scoring functions for small molecule-protein docking is a highly challenging task in current computational drug design. Here we present a novel consensus scoring concept for the prediction of binding modes for multiple known active ligands. Similar ligands are generally believed to bind to their receptor in a similar fashion. The presumption of our approach was that the true binding modes of similar ligands should be more similar to each other compared to false positive binding modes. The number of conserved (consensus) interactions between similar ligands was used as a docking score. Patterns of interactions were modeled using ligand receptor interaction fingerprints. Our approach was evaluated for four different data sets of known cocrystal structures (CDK-2, dihydrofolate reductase, HIV-1 protease, and thrombin). Docking poses were generated with FlexX and rescored by our approach. For comparison the CScore scoring functions from Sybyl were used, and consensus scores were calculated thereof. Our approach performed better than individual scoring functions and was comparable to consensus scoring. Analysis of the distribution of docking poses by self-organizing maps (SOM) and interaction fingerprints confirmed that clusters of docking poses composed of multiple ligands were preferentially observed near the native binding mode. Being conceptually unrelated to commonly used docking scoring functions our approach provides a powerful method to complement and improve computational docking experiments.
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PMID:Maximum common binding modes (MCBM): consensus docking scoring using multiple ligand information and interaction fingerprints. 1821 Oct 51

The PROPKA method for the prediction of the pK(a) values of ionizable residues in proteins is extended to include the effect of non-proteinaceous ligands on protein pK(a) values as well as predict the change in pK(a) values of ionizable groups on the ligand itself. This new version of PROPKA (PROPKA 2.0) is, as much as possible, developed by adapting the empirical rules underlying PROPKA 1.0 to ligand functional groups. Thus, the speed of PROPKA is retained, so that the pK(a) values of all ionizable groups are computed in a matter of seconds for most proteins. This adaptation is validated by comparing PROPKA 2.0 predictions to experimental data for 26 protein-ligand complexes including trypsin, thrombin, three pepsins, HIV-1 protease, chymotrypsin, xylanase, hydroxynitrile lyase, and dihydrofolate reductase. For trypsin and thrombin, large protonation state changes (|n| > 0.5) have been observed experimentally for 4 out of 14 ligand complexes. PROPKA 2.0 and Klebe's PEOE approach (Czodrowski P et al. J Mol Biol 2007;367:1347-1356) both identify three of the four large protonation state changes. The protonation state changes due to plasmepsin II, cathepsin D and endothiapepsin binding to pepstatin are predicted to within 0.4 proton units at pH 6.5 and 7.0, respectively. The PROPKA 2.0 results indicate that structural changes due to ligand binding contribute significantly to the proton uptake/release, as do residues far away from the binding site, primarily due to the change in the local environment of a particular residue and hence the change in the local hydrogen bonding network. Overall the results suggest that PROPKA 2.0 provides a good description of the protein-ligand interactions that have an important effect on the pK(a) values of titratable groups, thereby permitting fast and accurate determination of the protonation states of key residues and ligand functional groups within the binding or active site of a protein.
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PMID:Very fast prediction and rationalization of pKa values for protein-ligand complexes. 1849 3

Representing receptors as ensembles of protein conformations during docking is a powerful method to approximate protein flexibility and increase the accuracy of the resulting ranked list of compounds. Unfortunately, docking compounds against a large number of ensemble members can increase computational cost and time investment. In this article, we present an efficient method to evaluate and select the most contributive ensemble members prior to docking for targets with a conserved core of residues that bind a ligand moiety. We observed that ensemble members that preserve the geometry of the active site core are most likely to place ligands in the active site with a conserved orientation, generally rank ligands correctly and increase interactions with the receptor. A relative distance approach is used to quantify the preservation of the three-dimensional interatomic distances of the conserved ligand-binding atoms and prune large ensembles quickly. In this study, we investigate dihydrofolate reductase as an example of a protein with a conserved core; however, this method for accurately selecting relevant ensemble members a priori can be applied to any system with a conserved ligand-binding core, including HIV-1 protease, kinases, and acetylcholinesterase. Representing a drug target as a pruned ensemble during in silico screening should increase the accuracy and efficiency of high-throughput analyses of lead analogs.
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PMID:In pursuit of virtual lead optimization: pruning ensembles of receptor structures for increased efficiency and accuracy during docking. 1878 87


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