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Prediction and Fourier-transform infrared-spectroscopy estimation of the secondary structure of a recombinant beta-glucosidase from Streptomyces sp. (ATCC 11238).

The secondary structure of a recombinant beta-glucosidase (EC 3.2.1.21) from Streptomyces sp. (ATCC 11238) has been predicted by computer algorithms and also estimated by Fourier-transform IR spectroscopy. From curve fitting of the deconvoluted IR spectra, the most probable distribution of the secondary-structural classes appears to be about 34% alpha-helix, 30% beta-sheet, 25% reverse turns and 11% non-ordered structures. These data showed a good agreement with data from computer prediction (35% alpha-helix, 23% beta-sheet, 31% reverse turns and 11% non-ordered structures).

Algorithms↗

Use of computer-assisted prediction of toxic effects of chemical substances.

The current revision of the European policy for the evaluation of chemicals (REACH) has lead to a controversy with regard to the need of additional animal safety testing. To avoid increases in animal testing but also to save time and resources, alternative in silico or in vitro tests for the assessment of toxic effects of chemicals are advocated. The draft of the original document issued in 29th October 2003 by the European Commission foresees the use of alternative methods but does not give further specification on which methods should be used. Computer-assisted prediction models, so-called predictive tools, besides in vitro models, will likely play an essential role in the proposed repertoire of "alternative methods". The current discussion has urged the Advisory Committee of the German Toxicology Society to present its position on the use of predictive tools in toxicology. Acceptable prediction models already exist for those toxicological endpoints which are based on well-understood mechanism, such as mutagenicity and skin sensitization, whereas mechanistically more complex endpoints such as acute, chronic or organ toxicities currently cannot be satisfactorily predicted. A potential strategy to assess such complex toxicities will lie in their dissection into models for the different steps or pathways leading to the final endpoint. Integration of these models should result in a higher predictivity. Despite these limitations, computer-assisted prediction tools already today play a complementary role for the assessment of chemicals for which no data is available or for which toxicological testing is impractical due to the lack of availability of sufficient compounds for testing. Furthermore, predictive tools offer support in the screening and the subsequent prioritization of compound for further toxicological testing, as expected within the scope of the European REACH program. This program will also lead to the collection of high-quality data which will broaden the database for further (Q)SAR approaches and will in turn increase the predictivity of predictive tools.

Animal Testing Alternatives↗

Computer-assisted predictive mathematical relationship among plasma acetaminophen concentration and time and hepatotoxicity in man.

A microcomputer program in BASIC for predicting hepatoxicity in man resulting from a single overdosage ingestion of acetaminophen was designed. A formula used in this program is derived from the data reported by Prescott and his coworkers (Lancet i (1971) 519-522). Analysis of the actually reported and the computer-assisted predicted data has shown that the computer-assisted predictive formula may be clinically helpful in determining if the plasma acetaminophen level is in the toxic or nontoxic range.

Acetaminophen↗

Presensitization and the renal allograft recipient.

We examined data from the New England Organ Bank to characterize the influence of patient sensitization on allograft survival, and our current crossmatching strategy. To evaluate our recipient eligibility criteria, we compared computer-predicted crossmatch results to 3622 actual crossmatches. A computer-predicted positive crossmatch was highly predictive of an actual positive crossmatch, for patients with a percentage reactive antibody of 40% of more (positive predictive value 91-99%), thus obviating the need to perform the actual crossmatch. Given the high prevalence of sensitized patients on our waiting list, very few individuals are inappropriately excluded from consideration for an available organ. In contrast, a negative computer prediction was never sufficiently predictive of a negative crossmatch to dispense with the actual crossmatching procedure. We also compared graft survival in patients with positive antidonor crossmatches using historical (greater than 6 months old) sera with those with negative historical crossmatches (or with no history of humoral sensitization). One-year actuarial graft survival in the first group was 61.0 +/- 6.0%, compared with 85.2 +/- 1.4% in those without positive historical crossmatches (P less than 0.001). This adverse effect of a positive historical crossmatch was true in both first transplants (n = 41, 1-year graft survival 67.9 +/- 7.4% vs. 86.2 +/- 1.6%, P less than 0.05) and in regrafted individuals (n = 29, 1-year graft survival 50.7 +/- 9.8% vs. 78.9 +/- 3.7%, P less than 0.01). The inability to accurately predict negative crossmatches, and the possible adverse effect of positive historical crossmatches on graft survival, represent potential obstacles to a goal of national organ sharing.

Algorithms↗

The biology of eukaryotic promoter prediction--a review.

Computational prediction of eukaryotic promoters from the nucleotide sequence is one of the most attractive problems in sequence analysis today, but it is also a very difficult one. Thus, current methods predict in the order of one promoter per kilobase in human DNA, while the average distance between functional promoters has been estimated to be in the range of 30-40 kilobases. Although it is conceivable that some of these predicted promoters correspond to cryptic initiation sites that are used in vivo, it is likely that most are false positives. This suggests that it is important to carefully reconsider the biological data that forms the basis of current algorithms, and we here present a review of data that may be useful in this regard. The review covers the following topics: (1) basal transcription and core promoters, (2) activated transcription and transcription factor binding sites, (3) CpG islands and DNA methylation, (4) chromosomal structure and nucleosome modification, and (5) chromosomal domains and domain boundaries. We discuss the possible lessons that may be learned, especially with respect to the wealth of information about epigenetic regulation of transcription that has been appearing in recent years.

Chromosomes↗

[Study of the effectiveness of individual computer-assisted prediction of the results of rehabilitation treatment of patients with schizophrenia].

The rehabilitation automated information system was used to analyze the data of 768 formalized case reports of schizophrenia patients with a purpose of elaboration and control of the efficacy of the computing rules of individual prediction of the remission pattern. Two algorithms of image recognition were employed: a nonuniform statistical procedure and Bayes++'s method. A study was made of the relationship between the prediction accuracy and the number of traits (from 10 to 86), ranged on the basis of prognostic information content according to the Kulbak's measure. Using 86 traits with the aid of Bayes' method, 76% of correct prognoses, 20% of erroneous and 4% of indefinite ones were obtained. The computing prediction tables were designed, intended for practicing physicians, requiring no use of computers.

Adult↗

Quod erat demonstrandum? The mystery of experimental validation of apparently erroneous computational analyses of protein sequences.

BACKGROUND: Computational predictions are critical for directing the experimental study of protein functions. Therefore it is paradoxical when an apparently erroneous computational prediction seems to be supported by experiment. RESULTS: We analyzed six cases where application of novel or conventional computational methods for protein sequence and structure analysis led to non-trivial predictions that were subsequently supported by direct experiments. We show that, on all six occasions, the original prediction was unjustified, and in at least three cases, an alternative, well-supported computational prediction, incompatible with the original one, could be derived. The most unusual cases involved the identification of an archaeal cysteinyl-tRNA synthetase, a dihydropteroate synthase and a thymidylate synthase, for which experimental verifications of apparently erroneous computational predictions were reported. Using sequence-profile analysis, multiple alignment and secondary-structure prediction, we have identified the unique archaeal 'cysteinyl-tRNA synthetase' as a homolog of extracellular polygalactosaminidases, and the 'dihydropteroate synthase' as a member of the beta-lactamase-like superfamily of metal-dependent hydrolases. CONCLUSIONS: In each of the analyzed cases, the original computational predictions could be refuted and, in some instances, alternative strongly supported predictions were obtained. The nature of the experimental evidence that appears to support these predictions remains an open question. Some of these experiments might signify discovery of extremely unusual forms of the respective enzymes, whereas the results of others could be due to artifacts.

Acetyltransferases↗

Computer-assisted prediction of the instability of Colles' fractures.

Many Colles' fractures are unstable and have a tendency to redisplace when immobilised in plaster. In an earlier study, we found a high correlation between several parameters from the initial radiographs in 267 patients and the anatomical end results. The predictive power of a new computer programme designed from the data of these patients was investigated in a further group of 107 Colles' fractures. Prediction of the final radiological position was good, especially in the least and moderately displaced fractures. We have found that the initial radial shortening, the type of fracture according to Lidström's classification, and the age of the patients have the greatest value in predicting whether a Colles' fracture will displace to an unacceptable degree.

Aged↗

Computer-assisted predictive mathematical relationship between time after diagnosis and survival probability in patients with chronic leukemias.

A microcomputer program in BASIC for predicting the survival probability by the time after diagnosis in patients with chronic leukemias is designed. Formulas used in this program are derived from the data published by Feinleib and MacMahon (Blood 15 (1960) 332-349). A general equation previously published by the author is applied in this study to calculate the survival probability. Analysis of the computer-assisted predicted and Feinleib and MacMahon's observed data has shown that the program is fairly accurate and reliable with a close agreement in expressing survival probability as a function of the time after diagnosis. The computer-assisted predictive formulas can determine the relationship between the time and the survival probability, and may be of value for prognostic evaluation of patients with chronic leukemias.

Chronic Disease↗

Explaining computation of predictive values: 2 x 2 table versus frequency tree. A randomized controlled trial [ISRCTN74278823].

BACKGROUND: Involving patients in decision making on diagnostic procedures requires a basic level of statistical thinking. However, innumeracy is prevalent even among physicians. In medical teaching the 2 x 2 table is widely used as a visual help for computations whereas in psychology the frequency tree is favoured. We assumed that the 2 x 2 table is more suitable to support computations of predictive values. METHODS: 184 students without prior statistical training were randomised either to a step-by-step self-learning tutorial using the 2 x 2 table (n = 94) or the frequency tree (n = 90). During the training session students were instructed by two sample tasks and a total of five positive predictive values had to be computed. During a follow-up session 4 weeks later participants had to compute 5 different tasks of comparable degree of difficulty without having the tutorial instructions at their disposal. The primary outcome was the correct solution of the tasks. RESULTS: There were no statistically significant differences between the two groups. About 58% achieved correct solutions in 4-5 tasks following the training session and 26% in the follow-up examination. CONCLUSIONS: These findings do not support the hypothesis that the 2 x 2 table is more valuable to facilitate the calculation of positive predictive values than the frequency tree.

Adult↗

Evaluation of video imaging prediction in combined maxillary and mandibular orthognathic surgery.

The purpose of this study was to evaluate the accuracy of the soft tissue profile "line drawings" predicted by Quick Ceph Image in combined maxillary and mandibular orthognathic surgical procedures. Preoperative (mean = 27.7 days presurgical) and posttreatment (mean = 11.5 months postsurgical) lateral cephalograms of 40 white patients (10 males and 30 females) who had completed treatment that involved orthodontics, one-piece LeFort I osteotomy, and mandibular advancement by bilateral sagittal split osteotomy with or without genioplasty were used in the study. Forty-five lateral hard and soft tissue landmarks were digitized, using the "on-screen" digitizing option, for each cephalogram and for each computer predicted posttreatment tracing. A customized analysis consisting of 24 linear and 4 angular measurements was used to analyze the differences between the actual posttreatment cephalometric landmark measurements and computer predicted landmark measurements. Statistically significant differences between the posttreatment cephalometric soft tissue profiles and the computer predicted soft tissue profiles were analyzed for the total sample, patients grouped according to: magnitude and direction of maxillary movements, adjunctive genioplasty procedure, V-Y closure of the LeFort I incision, and gender and age differences. The results indicated that for some of the soft tissue landmarks, differences were found between the posttreatment and the computer predicted profiles. Differences between the predicted and actual posttreatment soft tissue profiles may be attributed to the inaccuracy of Quick Ceph Image's default soft to hard tissue ratios when predicting the soft tissue response to combined maxillary and mandibular orthognathic surgical procedures.

Adolescent↗

Robustness of biological activity spectra predicting by computer program PASS for noncongeneric sets of chemical compounds.

The computer system PASS provides simultaneous prediction of several hundreds of biological activity types for any drug-like compound. The prediction is based on the analysis of structure-activity relationships of the training set including more than 30000 known biologically active compounds. In this paper we investigate the influence on the accuracy of predicting the types of activity with PASS by (a) reduction of the number of structures in the training set and (b) reduction of the number of known activities in the training set. The compounds from the MDDR database are used to create heterogeneous training and evaluation sets. We demonstrate that predictions are robust despite the exclusion of up to 60% of information.

Chemistry, Pharmaceutical↗

Computer-aided prediction of RNA secondary structures.

A brief survey of computer algorithms that have been developed to generate predictions of the secondary structures of RNA molecules is presented. Two particular methods are described in some detail. The first utilizes a thermodynamic energy minimization algorithm that takes into account the likelihood that short-range folding tends to be favored over long-range interactions. The second utilizes an interactive computer graphic modelling algorithm that enables the user to consider thermodynamic criteria as well as structural data obtained by nuclease susceptibility, chemical reactivity and phylogenetic studies. Examples of structures for prokaryotic 16S and 23S ribosomal RNAs, several eukaryotic 5S ribosomal RNAs and rabbit beta-globin messenger RNA are presented as case studies in order to describe the two techniques. Anm argument is made for integrating the two approaches presented in this paper, enabling the user to generate proposed structures using thermodynamic criteria, allowing interactive refinement of these structures through the application of experimentally derived data.

Animals↗

Theory of asymmetric organocatalysis of Aldol and related reactions: rationalizations and predictions.

Computational studies have led to models to understand some classic and contemporary asymmetric reactions involving organocatalysts. The Hajos-Parrish-Eder-Sauer-Wiechert reaction and intermolecular aldol reactions as well as Mannich reactions and oxyaminations catalyzed by proline and other amino acids, and Diels-Alder reactions catalyzed by MacMillan's chiral amine organocatalysts have been studied with density functional theory. Quantitative predictions for several new catalysts and reactions are provided.

Journal Article↗

Tailor-made strong exchange magnetic coupling through very long bridging ligands: theoretical predictions.

Computational methods based on density functional theory have been applied to a prospective study of dinuclear transition metal complexes that may show strong exchange coupling interactions through very long bridging ligands. The results indicate that M(III) complexes (being M= Cr, Mn or Fe) with dicyanamidobenzene-type ligands are specially promising for this purpose, since strong ferromagnetic or antiferromagnetic coupling is predicted between paramagnetic metal cations at distances as long as 25 A. The existence of ferromagnetic or antiferromagnetic coupling in the complexes with the different isomers of dicyanamidobenzene can be rationalized in terms of molecular orbitals.

Journal Article↗

Strengths and weaknesses of EST-based prediction of tissue-specific alternative splicing.

BACKGROUND: Alternative splicing contributes significantly to the complexity of the human transcriptome and proteome. Computational prediction of alternative splice isoforms are usually based on EST sequences that also allow to approximate the expression pattern of the related transcripts. However, the limited number of tissues represented in the EST data as well as the different cDNA construction protocols may influence the predictive capacity of ESTs to unravel tissue-specifically expressed transcripts. METHODS: We predict tissue and tumor specific splice isoforms based on the genomic mapping (SpliceNest) of the EST consensus sequences and library annotation provided in the GeneNest database. We further ascertain the potentially rare tissue specific transcripts as the ones represented only by ESTs derived from normalized libraries. A subset of the predicted tissue and tumor specific isoforms are then validated via RT-PCR experiments over a spectrum of 40 tissue types. RESULTS: Our strategy revealed 427 genes with at least one tissue specific transcript as well as 1120 genes showing tumor specific isoforms. While our experimental evaluation of computationally predicted tissue-specific isoforms revealed a high success rate in confirming the expression of these isoforms in the respective tissue, the strategy frequently failed to detect the expected restricted expression pattern. The analysis of putative lowly expressed transcripts using normalized cDNA libraries suggests that our ability to detect tissue-specific isoforms strongly depends on the expression level of the respective transcript as well as on the sensitivity of the experimental methods. Especially splice isoforms predicted to be disease-specific tend to represent transcripts that are expressed in a set of healthy tissues rather than novel isoforms. CONCLUSIONS: We propose to combine the computational prediction of alternative splice isoforms with experimental validation for efficient delineation of an accurate set of tissue-specific transcripts.

Alternative Splicing↗

Predicting reverberation times in a simulated classroom.

By varying the sound-absorption treatments in a simulated classroom, experimental results were compared with analytical and computer predictions of reverberation time. Analytical predictions were made with different absorption exponents, which are the result of different weighting procedures involving room surface areas and the sound-absorption coefficients. Sound scattering was found to influence measured reverberation times. With the amount of sound scattering provided, more accurate analytical predictions were obtained with absorption exponents that give reverberation times longer than those obtained with the Sabine absorption exponent, which consistently underpredicted reverberation times. However, none of the absorption exponents could be singled out as more adequate because of similar average accuracy. Computer predictions of reverberation time were accomplished with two commercially available ray-based programs, RAYNOISE 3.0 and ODEON 2.6, with specular and calibrated diffuse reflection procedures. Neither type of procedure, in either program, was more accurate than the best analytical predictions. With RAYNOISE, neither the specular nor the calibrated diffuse reflection procedure could be singled out as more adequate. For ODEON, the calibrated diffuse reflection procedure gave consistently more accurate predictions than its specular reflection procedure, with the best accuracy of the computer predictions.

Acoustics↗

Temporal lobe perfusion on single photon emission computed tomography predicts the rate of cognitive decline in Alzheimer's disease.

OBJECTIVE: To examine the ability of relative regional cerebral blood flow as measured by single photon emission computed tomography to predict longitudinal course of cognitive decline in Alzheimer's disease. DESIGN: Single photon emission computed tomography using the blood flow tracer 123I-N-isopropyl-p-iodoamphetamine was performed at initial evaluation and was used to predict the rate of cognitive decline over a follow-up period from 1 to 4 years. SETTING: Outpatient university dementia clinic and center for functional imaging. PARTICIPANTS: Twenty-nine patients met National Institute of Neurological and Communicative Disorders and Stroke-Alzheimer's Disease and Related Disorders Association criteria for probably or possible AD. RESULTS: Temporal lobe regional cerebral blood flow ratio at initial evaluation correlated with rate of decline in Mini-Mental State Examination over the longitudinal follow-up. Temporal regional cerebral blood flow ratio also predicted rate of decline of specific memory measures on the California Verbal Learning Test. Neither parietal nor frontal ratios predicted rate of cognitive decline. Dorsolateral frontal hypoperfusion was associated with the emergence of perseverative behaviors over time. Age, prior dementia duration, estimated prior rate of decline, and initial severity did not predict rate of cognitive decline. CONCLUSION: Results suggest that regional perfusion on single photon emission computed tomography may predict cognitive decline in Alzheimer's disease better than these demographic and course variables.

Aged↗