ChemInform Abstract: The Applications of Binuclear Metallohydrolases in Medicine: Recent Advances in the Design and Development of Novel Drug Leads for Purple Acid Phosphatases, Metallo-β-lactamases and Arginases

ChemInform ◽  
2014 ◽  
Vol 45 (22) ◽  
pp. no-no
Author(s):  
Ross P. McGeary ◽  
Gerhard Schenk ◽  
Luke W. Guddat
Keyword(s):  
Acid Phosphatases ◽  
Design And Development ◽  
Recent Advances ◽  
Binuclear Metallohydrolases ◽  
Purple Acid Phosphatases ◽  
Novel Drug ◽  
Drug Leads

FeIIIFeIIIand FeIIFeIIIComplexes as Synthetic Analogues for the Oxidized and Reduced Forms of Purple Acid Phosphatases

1996 ◽  
Vol 35 (8) ◽  
pp. 2360-2368 ◽  
Author(s):  
Ademir Neves ◽  
Marcos A. de Brito ◽  
Ivo Vencato ◽  
Valderes Drago ◽  
Klaus Griesar ◽  
...  
Keyword(s):  
Acid Phosphatases ◽  
Synthetic Analogues ◽  
Purple Acid Phosphatases ◽  
Reduced Forms

scholarly journals Systematic synthesis of functional unsymmetric FeZn model complexes for plant purple acid phosphatases

2010 ◽  
Vol 13 (3) ◽  
pp. 334-337 ◽  
Author(s):  
Martin Jarenmark ◽  
Håkan Carlsson ◽  
Vladimir M. Trukhan ◽  
Matti Haukka ◽  
Sophie E. Canton ◽  
...  
Keyword(s):  
Acid Phosphatases ◽  
Model Complexes ◽  
Purple Acid Phosphatases ◽  
Systematic Synthesis

scholarly journals Plant purple acid phosphatases - genes, structures and biological function.

2003 ◽  
Vol 50 (4) ◽  
pp. 1245-1256 ◽  
Author(s):  
Mariusz Olczak ◽  
Bronisława Morawiecka ◽  
Wiesław Watorek
Keyword(s):  
Disulfide Bridge ◽  
Acid Phosphatases ◽  
Amino Acid Residues ◽  
Disulfide Bridges ◽  
Inorganic Pyrophosphate ◽  
Manganese Ion ◽  
Substrate Preferences ◽  
Purple Acid Phosphatases ◽  
Single Polypeptide ◽  
Monomeric Proteins

The properties of plant purple acid phosphatases (PAPs), metallophosphoesterases present in some bacteria, plants and animals are reviewed. All members of this group contain a characteristic set of seven amino-acid residues involved in metal ligation. Animal PAPs contain a binuclear metallic center composed of two irons, whereas in plant PAPs one iron ion is joined by zinc or manganese ion. Among plant PAPs two groups can be distinguished: small PAPs, monomeric proteins with molecular mass around 35 kDa, structurally close to mammalian PAPs, and large PAPs, homodimeric proteins with a single polypeptide of about 55 kDa. Large plant PAPs exhibit two types of structural organization. One type comprises enzymes with subunits bound by a disulfide bridge formed by cysteines located in the C-terminal region around position 350. In the second type no cysteines are located in this position and no disulfide bridges are formed between subunits. Differences in structural organisation are reflected in substrate preferences. Recent data reveal in plants the occurrence of metallophosphoesterases structurally different from small or large PAPs but with metal-ligating sequences characteristic for PAPs and expressing pronounced specificity towards phytate or diphosphate nucleosides and inorganic pyrophosphate.

Studies on Model Compound of Purple Acid Phosphatases Hydrolysis of ATP

1997 ◽  
Vol 13 (07) ◽  
pp. 643-646
Author(s):  
Wang Tian-Zhi ◽  
◽  
Wu Ding-Quan ◽  
Huang Zai-Yin ◽  
Qu Song-Sheng ◽  
...  
Keyword(s):  
Model Compound ◽  
Acid Phosphatases ◽  
Purple Acid Phosphatases ◽  
Hydrolysis Of

Inkjet dispensing technologies: recent advances for novel drug discovery

2019 ◽  
Vol 14 (2) ◽  
pp. 101-113 ◽  
Author(s):  
Sina Azizi Machekposhti ◽  
Saeid Mohaved ◽  
Roger J. Narayan
Keyword(s):  
Drug Discovery ◽  
Recent Advances ◽  
Novel Drug

scholarly journals Phylogeny-Guided Selection of Priority Groups for Venom Bioprospecting: Harvesting Toxin Sequences in Tarantulas as a Case Study

Toxins ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 488 ◽  
Author(s):  
Tim Lüddecke ◽  
Andreas Vilcinskas ◽  
Sarah Lemke
Keyword(s):  
Success Rate ◽  
Mechanisms Of Action ◽  
Rational Selection ◽  
Almost All ◽  
Novel Drug ◽  
Drug Leads ◽  
Novel Structures ◽  
Animal Venoms ◽  
Selection Of

Animal venoms are promising sources of novel drug leads, but their translational potential is hampered by the low success rate of earlier biodiscovery programs, in part reflecting the narrow selection of targets for investigation. To increase the number of lead candidates, here we discuss a phylogeny-guided approach for the rational selection of venomous taxa, using tarantulas (family Theraphosidae) as a case study. We found that previous biodiscovery programs have prioritized the three subfamilies Ornithoctoninae, Selenocosmiinae, and Theraphosinae, which provide almost all of the toxin sequences currently available in public databases. The remaining subfamilies are poorly represented, if at all. These overlooked subfamilies include several that form entire clades of the theraphosid life tree, such as the subfamilies Eumenophorinae, Harpactirinae, and Stromatopelminae, indicating that biodiversity space has not been covered effectively for venom biodiscovery in Theraphosidae. Focusing on these underrepresented taxa will increase the likelihood that promising candidates with novel structures and mechanisms of action can be identified in future bioprospecting programs.

Ultrafast shape recognition for similarity search in molecular databases

2007 ◽  
Vol 463 (2081) ◽  
pp. 1307-1321 ◽  
Author(s):  
Pedro J Ballester ◽  
W. Graham Richards
Keyword(s):  
Biological Activity ◽  
Three Dimensional ◽  
Molecular Shape ◽  
Scientific Disciplines ◽  
Distance Distributions ◽  
Molecular Databases ◽  
Hard Problems ◽  
Data Explosion ◽  
Novel Drug ◽  
Drug Leads

Molecular databases are routinely screened for compounds that most closely resemble a molecule of known biological activity to provide novel drug leads. It is widely believed that three-dimensional molecular shape is the most discriminating pattern for biological activity as it is directly related to the steep repulsive part of the interaction potential between the drug-like molecule and its macromolecular target. However, efficient comparison of molecular shape is currently a challenge. Here, we show that a new approach based on moments of distance distributions is able to recognize molecular shape at least three orders of magnitude faster than current methodologies. Such an ultrafast method permits the identification of similarly shaped compounds within the largest molecular databases. In addition, the problematic requirement of aligning molecules for comparison is circumvented, as the proposed distributions are independent of molecular orientation. Our methodology could be also adapted to tackle similar hard problems in other fields, such as designing content-based Internet search engines for three-dimensional geometrical objects or performing fast similarity comparisons between proteins. From a broader perspective, we anticipate that ultrafast pattern recognition will soon become not only useful, but also essential to address the data explosion currently experienced in most scientific disciplines.

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