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RM1: a reparameterization of AM1 for H, C, N, O, P, S, F, Cl, Br, and I.

Twenty years ago, the landmark AM1 was introduced, and has since had an increasingly wide following among chemists due to its consistently good results and time-tested reliability--being presently available in countless computational quantum chemistry programs. However, semiempirical molecular orbital models still are of limited accuracy and need to be improved if the full potential of new linear scaling techniques, such as MOZYME and LocalSCF, is to be realized. Accordingly, in this article we present RM1 (Recife Model 1): a reparameterization of AM1. As before, the properties used in the parameterization procedure were: heats of formation, dipole moments, ionization potentials and geometric variables (bond lengths and angles). Considering that the vast majority of molecules of importance to life can be assembled by using only six elements: C, H, N, O, P, and S, and that by adding the halogens we can now build most molecules of importance to pharmaceutical research, our training set consisted of 1736 molecules, representative of organic and biochemistry, containing C, H, N, O, P, S, F, Cl, Br, and I atoms. Unlike AM1, and similar to PM3, all RM1 parameters have been optimized. For enthalpies of formation, dipole moments, ionization potentials, and interatomic distances, the average errors in RM1, for the 1736 molecules, are less than those for AM1, PM3, and PM5. Indeed, the average errors in kcal x mol(-1) of the enthalpies of formation for AM1, PM3, and PM5 are 11.15, 7.98, and 6.03, whereas for RM1 this value is 5.77. The errors, in Debye, of the dipole moments for AM1, PM3, PM5, and RM1 are, respectively, 0.37, 0.38, 0.50, and 0.34. Likewise, the respective errors for the ionization potentials, in eV, are 0.60, 0.55, 0.48, and 0.45, and the respective errors, in angstroms, for the interatomic distances are 0.036, 0.029, 0.037, and 0.027. The RM1 average error in bond angles of 6.82 degrees is only slightly higher than the AM1 figure of 5.88 degrees, and both are much smaller than the PM3 and PM5 figures of 6.98 degrees and 9.83 degrees, respectively. Moreover, a known error in PM3 nitrogen charges is corrected in RM1. Therefore, RM1 represents an improvement over AM1 and its similar successor PM3, and is probably very competitive with PM5, which is a somewhat different model, and not fully disclosed. RM1 possesses the same analytical construct and the same number of parameters for each atom as AM1, and, therefore, can be easily implemented in any software that already has AM1, not requiring any change in any line of code, with the sole exception of the values of the parameters themselves.

Elements↗

A research proposal on the origin of life.

This paper describes some experiments the author would have liked to carry out if he had started earlier in the origin-of-life field. The proposal is preceded by a hypothetical outline of the main events in the origin of life. According to this outline, the emergence of life amounts to the transition between two kinds of chemistry: 1) cosmic chemistry, which is beginning to be understood and most likely provided the building blocks with which life was first constructed; and 2) biochemistry, the well-known set of enzyme-catalyzed metabolic reactions that support all living organisms today and must have supported the universal common ancestor, or LUCA, from which all known forms of life are derived. The pathway leading from one to the other of those two chemistries may be divided into three stages, defined as the pre-RNA, RNA, and protein-DNA stages. A brief summary of the events that may have occurred in these three stages and of the possible underlying mechanisms is given. It is emphasized that these events were chemical in nature and, especially, that they must have prefigured present-day biochemical processes. Protometabolism and metabolism, it is argued, must have been congruent. With congruence as the underlying working hypothesis, three problems open to experimental investigation are considered: 1) the involvement of peptides and other multimers as catalysts of early biogenic chemistry; 2) the participation of thioesters in primitive energy transactions; and 3) the influence of amino acids on the molecular selection of RNA molecules.

Amino Acids↗

Initial steps of speciation by geographic isolation and host switch in salmonid pathogen Gyrodactylus salaris (Monogenea: Gyrodactylidae).

To test the hypothesis that host-switching can be an important step in the speciation of gyrodactylid monogenean flatworms, we inferred the phylogeny within a cluster of parasites morphologically close to Gyrodactylus salaris Malmberg 1957, collected from Atlantic, Baltic and White Sea salmon (Salmo salar), farmed rainbow trout (Oncorhynchus mykiss), and grayling (Thymallus thymallus) from Northern Europe. The internal transcribed spacer region of the nuclear ribosomal gene was sequenced for taxonomic identification. Parasites on grayling from the White Sea Basin differed from the others by one nucleotide (0.08%), the remainder were identical to the sequence published earlier from Norway (G. salaris on salmon), England (Gyrodactylus thymalli on grayling), and the Czech Republic (unidentified salaris/thymalli on trout). For increased resolution, 813 nucleotides of the mitochondrial COI gene of 88 parasites were sequenced and compared with 76 published sequences using phylogenetic analysis. For all tree building algorithms (NJ, MP), the parasites formed a star-like phylogeny of six definite sister clades, indicating nearly simultaneous radiation. Average K2P distances between clades were 1.8-2.6%, and internal mean distances 0.2-1.1%. The genetic distance to the nearest known relative, Gyrodactylus lavareti Malmberg, was 24%. A variable salmon-specific mitochondrial Clade I was observed both in the Baltic Basin and in pathogenic populations introduced to the Atlantic and White Sea coasts. An invariable Clade II was common in rainbow trout farms in Sweden, Denmark and Finland; the same haplotype was also infecting salmon in a landlocked population in Russian Karelia, and in Oslo fjord and Sognefjord in Norway. Four geographically vicariant sister clades were observed on graylings: Clade III in the Baltic Sea Basin; Clade IV in Karelian rivers draining to the White Sea; Clade V in Norwegian river draining to Swedish lake Vänern; and Clade VI in rivers draining to Oslo fjord. The pattern fitted perfectly with the postglacial history of grayling distribution. Widely sampled clades from salmon and Baltic grayling had basal haplotypes in populations, which were isolated early during the postglacial recolonisation. The divergence between the six clades was clear and linked with their hosts, but not wide enough to support a species status for them. Parasites from the Slovakian type population of G. thymalli were not available, so this result does not mean that G. salaris and G. thymalli are synonyms. It is suggested that the plesiomorphic host of the parasite cluster was grayling, and the switch to salmon occurred at least once when the continental ice isolated Baltic salmon in an eastern freshwater refugium, 130,000 years ago. At the same time, parasites on grayling were split geographically and isolated into several allopatric refugia. The divergence among the parasite clades allowed a tentative calibration of the evolutionary rate, leading to an estimate of the divergence of 13.7-20.3% per million years for COI coding mtDNA. The results supported the hypothesis that parallel to the allopatric mode, host switch and instant isolation by host specificity can be operated as a speciation mechanism.

Amino Acid Sequence↗

Palliative care treatment patterns and associated costs of healthcare resource use for specific advanced cancer patients in the UK.

The purpose of this paper is to identify the treatment patterns and corresponding costs of healthcare resource use associated with palliative care for different types of advanced cancer patients, from the time they started strong opioid treatment until death. This was a modelling study performed from the perspective of the UK's National Health Service (NHS). A data set was created comprising 547 patients in the DIN-Link database who had a Read code for malignant neoplasms with a specific tumour-type diagnosis and who received their first strong opioid between 1 January 1998 and 30 September 2000 and died during that period. Palliative care-related resource utilization data were obtained from the DIN-Link database. Unit costs at 2000/2001 prices were applied to the resource use estimates to determine the mean cost of palliative care from the start of treatment until death. There were significant differences in age between patients with different cancer types and in patients' survival from diagnosis, time to the start of palliative care and duration of palliative care. The mean duration from cancer diagnosis to the start of strong opioid treatment ranged from 0.7 to 5.4 years in patients with lung and breast cancer respectively. Moreover, the length of palliative care ranged from 180 to 372 days in patients with these cancer types respectively. There were also statistically significant differences in resource use between patients with different cancer types, but this reflected, in part, the varying durations of palliative care. Nevertheless, there were also differences in the monthly number of primary care visits reflecting the different number of monthly prescriptions. There was no apparent relationship between the length and corresponding cost of palliative care which ranged from 1816 pounds sterling for colon cancer to 4789 pounds sterling for ovarian cancer. Additionally, on average, only a third of all patients also received 4-hourly morphine as part of their initial strong opioid treatment. The total cost of palliative care varied between cancer type and reflects, at least in part, the distinct clinical features associated with different tumours and the varying lengths of survival following the start of strong opioid treatment. Nevertheless, no apparent relationship was found between length of palliative care and corresponding costs. This analysis provides data on palliative care resource use for a variety of cancers and could provide useful input when planning local healthcare strategies and building service commissioning models.

Adult↗

A general approach to proving the minimality of phylogenetic trees illustrated by an example with a set of 23 vertebrates.

We have recently described a method of building phylogenetic trees and have outlined an approach for proving whether a particular tree is optimal for the data used. In this paper we describe in detail the method of establishing lower bounds on the length of a minimal tree by partitioning the data set into subsets. All characters that could be involved in duplications in the data are paired with all other such characters. A matching algorithm is then used to obtain the pairing of characters that reveals the most duplications in the data. This matching may still not account for all nucleotide substitutions on the tree. The structure of the tree is then used to help select subsets of three or more characters until the lower bound found by partitioning is equal to the length of the tree. The tree must then be a minimal tree since no tree can exist with a length less than that of the lower bound. The method is demonstrated using a set of 23 vertebrate cytochrome c sequences with the criterion of minimizing the total number of nucleotide substitutions. There are 131130 7045768798 96033440625 topologically distinct trees that can be constructed from this data set. The method described in this paper does identify 144 minimal tree variants. The method is general in the sense that it can be used for other data and other criteria of length. It need not however always be possible to prove a treee minimal but the method will give an upper and lower bound on the length of minimal trees.

Amino Acid Sequence↗