Skills (16)
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64 Questions3063 Followers
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75 Questions2276 Followers
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13 Questions15 Followers
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0 Questions3 Followers
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6 Questions83 Followers
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0 Questions10 Followers
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0 Questions16 Followers
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0 Questions2 Followers
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1 Question31 Followers
Research experience
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Teaching: Toxicology
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Jan 2010
Research: Moscow State University
Moscow State UniversityRussia · Moscow -
Jan 1997–
Dec 1998Research: Henry Ford Health System
Henry Ford Health SystemUSA · Detroit -
Jan 1982–
Dec 2011Research: University of Michigan
University of Michigan · Department of NeurologyUSA · Ann Arbor -
Jan 1974
Research: Harvard University
Harvard University · Harvard School of Public HealthUSA · Cambridge
Education
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Jun 1974–
Jul 1975Medical Research Council
Neurochemistry/Neurotoxicology · Postdoctoral TrainingUnited Kingdom · Carshalton -
Sep 1973–
Apr 1974Harvard University
Physiology/Toxicology · ScD -
Sep 1970–
Apr 1973Harvard University
Physiology/Toxicology · ScM -
Sep 1967–
Apr 1970Stony Brook University
Chemistry · PhD Candidate -
Sep 1963–
Apr 1967Wichita State University
Chemistry · BS magna cum laude
Other
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Scientific MembershipsAAAS
American Chemical Society
Society of Toxicology -
Other InterestsClassic movies
Classical guitar
Science
Nature
American Prometheus: The Triumph and Tragedy of J. Robert Oppenheimer (K. Bird and M.J. Sherwin)
A Beautiful Mind (S. Nasar)
Chemical Research in Toxicology
Journal of Toxicology
Journal of Toxicology and Environmental Health
Toxicology and Industrial Health
Questions and Answers (3) View all
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Answer added in Cheminformatics and Computational Chemistry29 What is the best linux distro for computational chemistry?By Julián de la Cruz · University ICESIRudy Richardson · University of MichiganIn my group, we have settled on Linux Mint 13 LTS 64-bit with the KDE desktop. It is based on Ubuntu 12.04 LTS. The system is user-friendly and has a ... [more]In my group, we have settled on Linux Mint 13 LTS 64-bit with the KDE desktop. It is based on Ubuntu 12.04 LTS. The system is user-friendly and has a very large collection of packages for scientific and other applications. It works well with GAMESS, Gromacs, NAMD, VMD, AutoDock, YASARA, and many other scientific programs.Following
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Answer added in Cheminformatics and Computational Chemistry29 What is the best linux distro for computational chemistry?By Julián de la Cruz · University ICESIRudy Richardson · University of MichiganWe have been testing a number of linux distros for computational chemistry and molecular modeling using VirtualBox (VB) as the first pass, followed by... [more]We have been testing a number of linux distros for computational chemistry and molecular modeling using VirtualBox (VB) as the first pass, followed by testing on actual hardware. We have used YASARA-Structure and MOE for testing. We have tested Centos 6.3, Debian Testing, Fedora 16, Linux Mint 13 LTS, Linux Mint Debian Edition (LMDE) 201204, OpenSuse 12.1, and Ubuntu 12.04 LTS. All distros were 64-bit, and the latest available version of KDE was used as the desktop. YASARA is particularly demanding with respect to graphics, and it would not open in VB except with CentOS and LMDE; on actual hardware, all of the distros would open and run YASARA. With MOE, images of molecules could not be saved in most formats using Linux Mint 13 or Ubuntu 12.04, either in VB or on hardware; this seems to be an issue with image conversion in Ubuntu and Mint, which is based on Ubuntu. Images could be saved in EPS format and converted separately to PNG or other formats, and there was no problem with images in CentOS or LMDE. Overall, considering stability, ease of use, long-term support, availability of packages, and the specific issues indicated above, we favored Linux Mint 13 and Ubuntu 12.04. However, CentOS 6.3 exhibited no problems whatsoever in our testing, and it is widely touted for its exceptional stability and acceptance by SysAdmins, especially for running servers. We have just received a new workstation, and are currently debating which of these three distros to install. Mint and Ubuntu use APT and DEB packages, whereas CentOS uses YUM and RPM packages. I am personally somewhat more familiar with APT/DEB, and so I am leaning toward Mint or Ubuntu. Because Mint has a specific KDE edition and I do not particularly like the Unity interface in Ubuntu (and Kubuntu does not appeal to me as much as the KDE version of Mint), I am probably going to choose Linux Mint 13 LTS with the KDE desktop. However, I am still open to suggestions!Following
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Answer added in Bioinformatics and Computational Biology7 Regarding the reliability of MOE for bioinformaticsBy Nutan Chauhan · Birla Institute of Technology, MesraRudy Richardson · University of MichiganAll of your comments and questions are very interesting to me, as I am struggling with similar issues. The commercial products are quite expensive wit... [more]All of your comments and questions are very interesting to me, as I am struggling with similar issues. The commercial products are quite expensive with rather large annual license fees. MOE and Sybyl have the advantage of being comprehensive packages that do not require modules or tokens, whereas Schrodinger and Accelrys require separate licenses or tokens for each component. For similar packages, I believe that the relative cost is Accelrys > Schrodinger > Sybyl > MOE. My impression from reading articles and my own limited testing is that Accelrys is geared toward data management in the enterprise. Sybyl's particular strength is in cheminformatics and QSAR; they invented CoMFA and have an active patent on it. Schrodinger is especially known for its docking and scoring via Glide. MOE is interesting because of its potential for expansion and linking to other programs via its Scientific Vector Language (SVL). MOE also has a nice clean interface that unifies all the programs it uses. I like the fact that it can be used as a front-end for other software, such as NAMD for molecular dynamics and OpenEye Omega for generating conformers. You might also want to look at Molsoft ICM Pro, which has a comprehensive package and good published results for docking. I am currently using YASARA-Structure, which is very reasonably priced, quite comprehensive, and extremely fair with respect to license policies. In my testing thus far, I have not found any product that is superior to YASARA with respect to accuracy of results, excellence of graphics, speed, customer support, or ease of use. I keep testing other products looking for the perfect all-around solution, but I keep coming back to YASARA. The only thing it seems to lack is the cheminformatics/QSAR components; it is geared toward protein structure and function, including docking and molecular dynamics. In the end, however, the choice of software depends on what you will be doing with it. Moreover, the quality of results are highly dependent upon the care that is taken in preparing molecules and interpreting data. With this in mind, there is a wealth of free and open source software that is just as good if not better than the commercial packages, although the free software might not have as attractive an interface or be as easy to use.Following
Publications (96) View all
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Dataset: Makhaeva 2012 SARQSAR
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SourceAvailable from: Igor I. Baskin
Article: Combined QSAR studies of inhibitor properties of O-phosphorylated oximes toward serine esterases involved in neurotoxicity, drug metabolism and Alzheimer's disease.
[show abstract] [hide abstract]
ABSTRACT: Oxime reactivation of serine esterases (EOHs) inhibited by organophosphorus (OP) compounds can produce O-phosphorylated oximes (POXs). Such oxime derivatives are of interest, because some of them can have greater anti-EOH potencies than the OP inhibitors from which they were derived. Accordingly, inhibitor properties of 58 POXs against four EOHs, along with pair-wise selectivities between them, have been analysed using different QSAR approaches. EOHs (with their abbreviations and consequences of inhibition in parentheses) comprised acetylcholinesterase (AChE: acute neurotoxicity; cognition enhancement), butyrylcholinesterase (BChE: inhibition of drug metabolism or stoichiometric scavenging of EOH inhibitors; cognition enhancement), carboxylesterase (CaE: inhibition of drug metabolism or stoichiometric scavenging of EOH inhibitors), and neuropathy target esterase (NTE: delayed neurotoxicity). QSAR techniques encompassed linear regression and backpropagation neural networks in conjunction with fragmental descriptors containing labelled atoms, Molecular Field Topology Analysis (MFTA), Comparative Molecular Similarity Index Analysis (CoMSIA), and molecular modelling. All methods provided mostly consistent and complementary information, and they revealed structural features controlling the 'esterase profiles', i.e. patterns of anti-EOH activities and selectivities of the compounds of interest. In addition, MFTA models were used to design a library of compounds having a cognition-enhancement esterase profile suitable for potential application to the treatment of Alzheimer's disease.SAR and QSAR in environmental research 05/2012; 23(7-8):627-647. · 1.68 Impact Factor -
SourceAvailable from: Galina Makhaeva
Article: Kinetics and mechanism of inhibition of serine esterases by fluorinated aminophosphonates.
G F Makhaeva, A Y Aksinenko, V B Sokolov, I I Baskin, V A Palyulin, N S Zefirov, N D Hein, J W Kampf, S J Wijeyesakere, R J Richardson[show abstract] [hide abstract]
ABSTRACT: This paper reviews previously published data and presents new results to address the hypothesis that fluorinated aminophosphonates (FAPs), (RO)(2)P(O)C(CF(3))(2)NHS(O)(2)C(6)H(5), R=alkyl, inhibit serine esterases by scission of the P-C bond. Kinetics studies demonstrated that FAPs are progressive irreversible inhibitors of acetylcholinesterase (AChE, EC 3.1.1.7.), butyrylcholinesterase (BChE, EC 3.1.1.8.), carboxylesterase (CaE, EC 3.1.1.1.), and neuropathy target esterase (NTE, EC 3.1.1.5.), consistent with P-C bond breakage. Chemical reactivity experiments showed that diMe-FAP and diEt-FAP react with water to yield the corresponding dialkylphosphates and (CF(3))(2)CHNHS(O)(2)C(6)H(5), indicating lability of the P-C bond. X-ray crystallography of diEt-FAP revealed an elongated (and therefore weaker) P-C bond (1.8797 (13)A) compared to P-C bonds in dialkylphosphonates lacking alpha-CF(3) groups (1.805-1.822A). Semi-empirical and non-empirical molecular modeling of diEt-FAP and (EtO)(2)P(O)C(CH(3))(2)NHS(O)(2)C(6)H(5) (diEt-AP), which lacks CF(3) groups, indicated lengthening and destabilization of the P-C bond in diEt-FAP compared to diEt-AP. Active site peptide adducts formed by reacting diEt-FAP with BChE and diBu-FAP with NTE catalytic domain (NEST) were identified using peptide mass mapping with mass spectrometry (MS). Mass shifts (mean+/-SE, average mass) for peaks corresponding to active site peptides with diethylphosphoryl and monoethylphosphoryl adducts on BChE were 136.1+/-0.1 and 108.0+/-0.1Da, respectively. Corresponding mass shifts for dibutylphosphoryl and monobutylphosphoryl adducts on NEST were 191.8+/-0.2 and 135.5+/-0.1Da, respectively. Each of these values was statistically identical to the theoretical mass shift for each dialkylphosphoryl and monoalkylphosphoryl species. The MS results demonstrate that inhibition of BChE and NEST by FAPs yields dialkylphosphoryl and monoalkylphosphoryl adducts, consistent with phosphorylation via P-C bond cleavage and aging by net dealkylation. Taken together, predictions from enzyme kinetics, chemical reactivity, X-ray crystallography, and molecular modeling were confirmed by MS and support the hypothesis that FAPs inhibit serine esterases via scission of the P-C bond.Chemico-biological interactions 09/2010; 187(1-3):177-84. · 2.46 Impact Factor -
Article: Chlorpyrifos exposure and biological monitoring among manufacturing workers.
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ABSTRACT: To use biological monitoring data to evaluate the soundness of job based exposure classifications. The authors studied 52 chlorpyrifos manufacturing workers and 60 referent workers to compare chlorpyrifos exposure estimations from job titles and work areas to urinary excretion of 3,5,6 trichloro-2-pyridinol (TCP), a metabolite of chlorpyrifos. Work history records and industrial hygiene monitoring data were used to establish cumulative interim exposure. Chlorpyrifos exposure during the study year was assessed biologically by urinary excretion of TCP. Exposure as measured by three urinary TCP samples was significantly higher among the chlorpyrifos workers (188 microg/l) than it was for the referent subjects (7 microg/l). Urinary TCP also correlated well with specific exposure categories of negligible (0.73-1.98 mg/m3 days), low (1.99-4.91 mg/m3 days), and moderate (4.92-15.36 mg/m3 days). The weighted Kappa coefficient was 0.80 (95% CI 0.72 to 0.87) for the mean TCP over the study period. The estimates of chlorpyrifos exposure based on job classifications and industrial hygiene measurements were significantly related to urinary TCP excretion, indicating that the ambient estimates are useful for providing exposure estimates among chlorpyrifos manufacturing workers.Occupational and environmental medicine 04/2006; 63(3):218-20. · 3.64 Impact Factor -
Article: Improved Electrochemical Analysis of Neuropathy Target Esterase Activity by a Tyrosinase Carbon Paste Electrode Modified by 1-Methoxyphenazine Methosulfate
L.G. Sokolovskaya, L.V. Sigolaeva, A.V. Eremenko, I.V. Gachok, G.F. Makhaeva, N.N. Strakhova, V.V. Malygin, R.J. Richardson, I.N. Kurochkin[show abstract] [hide abstract]
ABSTRACT: A graphite-paste tyrosinase biosensor was improved by adding 1-methoxyphenazine methosulfate as a mediator. Mediator modification enhanced sensitivity to phenol 4-fold and long-term stability 3-fold. Phenol could be detected at 25nM (S/N=2) using an Ag/AgCl reference electrode. The biosensor was used to measure the activity of a toxicologically significant enzyme, neuropathy target esterase (NTE), which yields phenol by hydrolysis of the substrate, phenyl valerate. Using the new biosensor, blood and brain NTE inhibition by organophosphorus (OP) compounds with different neuropathic potencies were well correlated (r=0.990, n=7), supporting the use of blood NTE as a biochemical marker of exposure to neuropathic OP compounds.Biotechnology Letters 07/2005; 27(16):1211-1218. · 1.68 Impact Factor