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PubMed1984

Genome structure described by formal languages.

Nucleic acid sequences may be looked upon as words over the alphabet of nucleotides. Naturally occurring DNAs and RNAs form subsets of the set of all possible words. The use of formal languages is proposed to describe the structure of these subsets. Regular languages defined by finite automata are introduced to demonstrate the application of the concept on RNA-phages of group I. This approach permits a concise characterization of grammatical patterns in genetic information.

Base Sequence↗

PubMed2025

Deleterious, protein-altering variants in GSPT2 are putatively associated with an X-linked neurodevelopmental disorder with intellectual disability, language impairment, autism, and epilepsy.

PURPOSE: Approximately 6% of individuals with neurodevelopmental disorders are predicted to be X-linked, and the GSPT2 gene, located at Xp11.22, has not yet been associated with any Mendelian disease. METHODS: To establish genotype-phenotype associations between GSPT2 and neurodevelopmental disorders, clinical investigations were performed in unrelated individuals, genomic and functional studies were conducted on the participants' blood and heterologous cell system. RESULTS: We described 6 individuals from 6 unrelated families carrying hemizygous variants in GSPT2 with intellectual disability, delayed speech and language development, autism spectrum disorder, epilepsy, or abnormal fetal neurodevelopment. Structural molecular modeling revealed significant deleterious effects of the identified variants. GSPT2 is preferentially enriched in the brain and cerebellum compared with other tissues. GSPT2-deficient H4 neuroglioma cells slow down the proliferation and downregulate the expression of cell-cycle-related genes. Transcriptomics revealed that GABAergic and calcium-signaling-related genes were significantly downregulated in GSPT2-deficient cells. Consistent with the transcriptomic data, RT-PCR analysis verified the marked downregulation of critical genes (CACNA1B, etc) in GSPT2-knockout cells and further confirmed these findings with proteomic profiling. CONCLUSION: Our data suggest a putative GSPT2-related X-linked neurodevelopmental disorders through dysregulation of cell-cycle progression and calcium/GABAergic signaling pathways.

Humans↗

PubMed1998

A cost analysis of long term antibiotic prophylaxis for spontaneous bacterial peritonitis in cirrhosis.

OBJECTIVE: The aim of this study was to perform a cost analysis of different strategies of long term antibiotic prophylaxis for spontaneous bacterial peritonitis (SBP) in patients with cirrhosis and ascites. The study involved a cost analysis using a decision analysis model and patients with cirrhosis and ascites who are at risk for developing SBP. METHODS: Two different strategies of antibiotic prophylaxis were compared with a "no prophylaxis" strategy in patients with cirrhosis and ascites using a decision analysis model. In strategy I, antibiotic prophylaxis was administered in all patients with cirrhosis and ascites and in strategy II, patients were stratified into a low risk and a high risk group on the basis of serum bilirubin and ascitic fluid protein levels; only patients in the high risk group received antibiotic prophylaxis. The cost per patient treated for 1 yr was the outcome measure compared in the different strategies. Clinical input probabilities and ranges used were obtained by searching the MEDLINE database for English language articles. Cost estimates were obtained from a university hospital setting. Cost analysis was done with a societal perspective, and only direct costs were taken into account. Sensitivity analyses were performed to evaluate the effect of variations in the key clinical probabilities and cost estimates ranging from a best case to a worst case scenario on the outcome measure. RESULTS: The estimated cost per patient treated in strategy I, strategy II, and strategy III (the strategy of "no prophylaxis") were $1311, $1123, and $3509, respectively. Over a broad range of clinical and cost variables, the strategy of risk stratification and restriction of antibiotic prophylaxis to the subgroup of patients with cirrhosis and ascites who were at high risk for SBP (as identified by serum bilirubin >2.5 mg/dl and ascitic fluid protein <1 g/dl) was the most favored strategy. However, when the cost of prophylaxis was low or the probability of a primary episode of SBP was at the lower end of the range reported in the literature, administering antibiotic prophylaxis to all patients with cirrhosis and ascites was the least costly strategy. CONCLUSION: This cost analysis indicates that antibiotic prophylaxis particularly when restricted to a subgroup of patients who, by simple laboratory parameters, are identified to be at high risk for SBP, is very cost-effective in the prevention of SBP in patients with cirrhosis and ascites.

Antibiotic Prophylaxis↗

PubMedDate not supplied

[Simulation of liquid transcapillary exchanges].

The exchange between capillaries and the interstitial spaces are analysed using Wiederhielm's technique, and programmed in Basic language. The physiological variants represented are the hydrostatic pressures: arteriolar, venular and interstitial, and the oncotic, plasmatic and interstitial pressures. This technique enables us to analyses the relations between filtration, reabsorption. Plasmatic protein leaks, and lymphatic flux. It also enables us to simulate oedema of venous obstruction or lymphatic oedema, or protein deficiency oedema.

Arterioles↗

PubMed1994

SORTEZ: a relational translator for NCBI's ASN.1 database.

The National Center for Biotechnology Information (NCBI) has created a database collection that includes several protein and nucleic acid sequence databases, a biosequence-specific subset of MEDLINE, as well as value-added information such as links between similar sequences. Information in the NCBI database is modeled in Abstract Syntax Notation 1 (ASN.1) an Open Systems Interconnection protocol designed for the purpose of exchanging structured data between software applications rather than as a data model for database systems. While the NCBI database is distributed with an easy-to-use information retrieval system, ENTREZ, the ASN.1 data model currently lacks an ad hoc query language for general-purpose data access. For that reason, we have developed a software package, SORTEZ, that transforms the ASN.1 database (or other databases with nested data structures) to a relational data model and subsequently to a relational database management system (Sybase) where information can be accessed through the relational query language, SQL. Because the need to transform data from one data model and schema to another arises naturally in several important contexts, including efficient execution of specific applications, access to multiple databases and adaptation to database evolution this work also serves as a practical study of the issues involved in the various stages of database transformation. We show that transformation from the ASN.1 data model to a relational data model can be largely automated, but that schema transformation and data conversion require considerable domain expertise and would greatly benefit from additional support tools.

Algorithms↗

PubMed1990

An object-oriented database for protein structure analysis.

An object-oriented database system has been developed which is being used to store protein structure data. The database can be queried using the logic programming language Prolog or the query language Daplex. Queries retrieve information by navigating through a network of objects which represent the primary, secondary and tertiary structures of proteins. Routines written in both Prolog and Daplex can integrate complex calculations with the retrieval of data from the database, and can also be stored in the database for sharing among users. Thus object-oriented databases are better suited to prototyping applications and answering complex queries about protein structure than relational databases. This system has been used to find loops of varying length and anchor positions when modelling homologous protein structures.

Amino Acid Sequence↗

PubMed2026

Shielding the First 24 Postnatal Months of Life: A Proposal for a Prospective Cohort Study of Early-Life Electromagnetic Exposure and Autism Risk.

BACKGROUND: Autism Spectrum Disorder (ASD) involves Mirror Neuron System (MNS) dysfunction, driving core social and imitative impairments. Systemic physiological alterations such as autonomic dysregulation, mitochondrial dysfunction and neuroinflammation are known to impair synchronization and plasticity of neuronal clusters. A less-evident environmental cofactor, coinciding with rising ASD prevalence, is the considerable world-wide increase in electromagnetic radiation (EMR) overall exposure among children. Experimental evidence shows how low-intensity EMR influences cellular processes, via voltage-gated calcium channels (VGCCs), oxidative stress, and mitochondrial metabolism. The Resonant Convergence framework, allow to predict how chronic EMR exposure during the first 24 postnatal months of life can act as a factor in ASD pathogenesis. The best candidate mechanism is chronic Ion Cyclotron Resonance (ICR) detuning the Ca2+-calmodulin pathway, thus disrupting MNS synchronization. METHODS AND ANALYSIS: A prospective observational pilot cohort study (24-month follow-up) proposes to enroll 1000 full-term newborns into two arms: an EMR-reduced cohort (n = 500, rest and sleep-phase Faraday shielding) and a standard exposure cohort (n = 500). Exposure is quantified via radiofrequency (RF)/extremely low frequency(ELF) measurements, proximity analysis, device inventories and wearable dosimetry. The primary endpoint is a continuous neurodevelopmental trajectory score (joint attention, language, electroencephalogram (EEG) mu-rhythm); binary ASD diagnosis (Autism Diagnostic Observation Schedule, Second Edition (ADOS-2), Autism Diagnostic Interview-Revised (ADI-R)) is a secondary, exploratory endpoint. Moreover, an optional genomic screening will evaluate gene-environment interactions within extremely low-frequency electromagnetic field (ELF-EMF) vulnerable pathways, including ASD-associated genes upregulated by RF via bromodomain and extraterminal protein (BET)-mediated epigenetic mechanisms. Analyses will employ risk ratios, Fisher's exact tests and logistic regression adjusted for confounders; mixed-effects and Bayesian modeling will evaluate longitudinal outcomes and exposure reduction effects. Given a 2-3% baseline prevalence, approximately 20-30 ASD cases are expected. The study is therefore powered for exploratory signal detection rather than definitive causal inference, providing the critical baseline data required to justify and design future confirmatory trials. Sex-stratified modeling will address the 4:1 male-to-female prevalence ratio. ETHICS AND DISSEMINATION: Ethics committee approval is not yet sought; full protocol review and approval will be obtained prior to the study initiation, in strict accordance with the Declaration of Helsinki. Written parental informed consent will be mandatory for all participants prior to enrollment. Study findings and methodological milestones will be disseminated through peer-reviewed international scientific publications. This protocol provides a structured methodological framework for the first prospective investigation of sleep-phase EMR reduction as a potential modulator of ASD incidence during early neurodevelopment. Results will inform adequately powered confirmatory trials in electromagnetic neurodevelopmental epidemiology.

autism spectrum disorder↗

PubMed1996

Syntactic recognition of regulatory regions in Escherichia coli.

MOTIVATION: One of the most common methodologies to identify cis-regulatory sites in regulatory regions in the DNA is that of weight matrices, as testified by several articles in this issue. An alternative to strengthen the computational predictions in regulatory regions is to develop methods that incorporate more biological properties present in such DNA regions. The grammatical implementation presented in this paper provides a concrete example in this direction. RESULTS: On the basis of the analysis of an exhaustive collection of regulatory regions in Escherichia coli, a grammatical model for the regulatory regions of sigma 70 promoters has been developed. The terminal symbols of the grammar represent individual sites for the binding of activator and repressor proteins, and include the precise position of sites in relation to transcription initiation. Combining these symbols, the grammar generates a large number of different sentences, each of which can be searched for matching against a collection of regulatory regions by means of weight matrices specific for each set of sites for individual proteins. On the basis of this grammatical model, a Prolog syntactic recognizer is presented here. Specific subgrammars for ArgR, LexA and TyrR were implemented. When parsing a collection of 128 sigma 70 promoter regions, the syntactic recognizer produces a much lower number of false-positive sites than the standard search using weight matrices.

Algorithms↗

PubMed1996

The Shannon information entropy of protein sequences.

A comprehensive data base is analyzed to determine the Shannon information content of a protein sequence. This information entropy is estimated by three methods: a k-tuplet analysis, a generalized Zipf analysis, and a "Chou-Fasman gambler." The k-tuplet analysis is a "letter" analysis, based on conditional sequence probabilities. The generalized Zipf analysis demonstrates the statistical linguistic qualities of protein sequences and uses the "word" frequency to determine the Shannon entropy. The Zipf analysis and k-tuplet analysis give Shannon entropies of approximately 2.5 bits/amino acid. This entropy is much smaller than the value of 4.18 bits/amino acid obtained from the nonuniform composition of amino acids in proteins. The "Chou-Fasman" gambler is an algorithm based on the Chou-Fasman rules for protein structure. It uses both sequence and secondary structure information to guess at the number of possible amino acids that could appropriately substitute into a sequence. As in the case for the English language, the gambler algorithm gives significantly lower entropies than the k-tuplet analysis. Using these entropies, the number of most probable protein sequences can be calculated. The number of most probable protein sequences is much less than the number of possible sequences but is still much larger than the number of sequences thought to have existed throughout evolution. Implications of these results for mutagenesis experiments are discussed.

Algorithms↗

PubMed1996

Reverse cholesterol transport: its contribution to cholesterol catabolism in normal and disease states.

OBJECTIVES: To review the reverse cholesterol transport (RCT) model and its contribution to cholesterol catabolism in normal and disease states. DATA SOURCES: Pertinent articles were identified through a MEDLINE search of the English language literature from 1983 to 1995, followed by a manual search of the bibliographies of pertinent articles. STUDY SELECTION: Review articles, laboratory and clinical studies and case reports. DATA EXTRACTION: The physiology of the RCT pathway as well as alterations observed in individuals with diseases or lifestyle changes were reviewed. DATA SYNTHESIS: Data were derived mainly from laboratory studies and clinical observations. The RCT model is proposed to explain the removal of excess cholesterol from extrahepatic tissues and its delivery to liver for catabolism. This involves several regulated steps mediated by the plasma apolipoproteins and two key enzymes, lecithin:cholesterol acyltransferase (LCAT) and cholesteryl ester transfer protein (CETP). In essence free cholesterol in peripheral tissues is taken up by nascent high density lipoprotein (HDL) particles, converted to cholesteryl esters (by LCAT), and then transferred to apo B-containing lipoproteins (by CETP) for hepatic removal. Altered cholesterol catabolism may occur in individuals with disorders of a genetic or acquired nature as well as lifestyle changes, as a result of alterations in one of several of the putative steps or enzymes involved in RCT. CONCLUSIONS: The proposed antiatherogenic role of RCT remains to be validated as a review of the possible alterations noted in various disorders showed conflicting results in atherogenic propensity.

Apolipoproteins↗

PubMed2026

Anti-inflammatory agents after hip and shoulder arthroplasty: A systematic review and meta-analysis.

BACKGROUND: Postoperative inflammation after arthroplasty contributes to pain, delayed mobilization and prolonged hospitalization. Recent randomized trials have evaluated pharmacological anti-inflammatory strategies within contemporary enhanced recovery pathways, but evidence after hip and shoulder arthroplasty remains scattered across different drug classes and perioperative regimens. OBJECTIVES: To synthesize recent randomized controlled trial (RCT) evidence on perioperative anti-inflammatory agents after hip and shoulder arthroplasty. METHODS: PubMed, Embase, Cochrane Library and Web of Science were searched for English-language RCTs published from January 2020 to March 2026. The 2020-2026 window was selected to update evidence generated under modern arthroplasty, anesthesia, multimodal analgesia and enhanced recovery after surgery (ERAS) pathways. Eligible trials included adults undergoing hip or shoulder arthroplasty and compared corticosteroids, cyclooxygenase-2 (COX-2) inhibitors, nonsteroidal anti-inflammatory drug (NSAID)-based/local anti-inflammatory regimens, or related anti-inflammatory interventions with placebo, saline, no treatment, or the same regimen without the target component. Weighted mean differences (WMDs) were pooled using random-effects models. RESULTS: Nine RCTs involving 800 patients were included. Anti-inflammatory interventions significantly reduced postoperative C-reactive protein (CRP) [WMD=-32.18, 95% confidence interval (CI) (-41.16, -23.21), P<0.001], interleukin-6 (IL-6) [WMD=-31.25, 95% CI (-41.79, -20.77), P<0.001], rest pain [WMD=-0.41, 95% CI (-0.58, -0.23), P<0.001], activity pain [WMD=-0.56, 95% CI (-0.83, -0.29), P<0.001] and hospital stay [WMD=-0.54, 95% CI (-0.92, -0.15), P=0.006]. CONCLUSION: Recent RCT evidence suggests that perioperative anti-inflammatory interventions can attenuate early inflammatory responses and improve short-term pain and recovery after hip and shoulder arthroplasty. Because data were limited and clinically heterogeneous, the findings should not be interpreted as evidence favoring a specific drug class, dose, route, or timing.

Humans↗

PubMed1995

Neural regeneration in gastropod molluscs.

Snails recover function following a variety of neural injuries. They grow new tentacles with associated tentacle ganglia, selectively reinnervate peripheral targets, repair central connections and may even replace lost neurons and ganglia. The plasticity revealed in their responses to neural injury is an extreme expression of the adaptability observed in studies of learning and age-related changes in the nervous system. Recent information on neurogenesis in gastropods is providing a basis for comparing developmental events with neural regeneration. Studies of neural regeneration in gastropods have capitalized on our ability to identify many gastropod neurons individually and characterize the cellular properties and network properties that generate output patterns that underlie behaviors. The robustness of the model systems formed by cultured gastropod neurons is apparent in the similarity of the activity patterns in circuits formed in vitro and in vivo. Cell membrane repair, activation of an altered pattern of protein synthesis, and observation of the searching action of the growth cones can be studied under defined conditions that promote or inhibit the processes. Basic properties of growth cones, the molecular binding and second messenger systems underlying adhesion, sprouting and pathfinding, and events in synaptogenesis are accessible to analysis. Rules that govern selection of synaptic partners are being evaluated on the basis of cellular characteristics such as transmitter and receptor expression and ganglion of origin. The conservation of the molecular language that governs growth and communication between cells suggest that information gained in such studies may some day be applied to promote neural regeneration in mammals.

Animals↗

PubMed2025

Identification and classification of ion-channels across the tree of life provide functional insights into understudied CALHM channels.

The ion channel (IC) genes encoded in the human genome play fundamental roles in cellular functions and disease and are one of the largest classes of druggable proteins. However, limited knowledge of the diverse molecular and cellular functions carried out by ICs presents a major bottleneck in developing selective chemical probes for modulating their functions in disease states. The wealth of sequence data available on ICs from diverse organisms provides a valuable source of untapped information for illuminating the unique modes of channel regulation and functional specialization. However, the extensive diversification of IC sequences and the lack of a unified resource present a challenge in effectively using existing data for IC research. Here, we perform integrative mining of available sequence, structure, and functional data on 419 human ICs across disparate sources, including extensive literature mining by leveraging advances in large language models to annotate and curate the full complement of the "channelome". We employ a well-established orthology inference approach to identify and extend the IC orthologs across diverse organisms to above 48,000. We show that the depth of conservation and taxonomic representation of IC sequences can further be translated to functional similarities by clustering them into functionally relevant groups, which can be used for downstream functional prediction on understudied members. We demonstrate this by delineating co-conserved patterns characteristic of the understudied family of the Calcium Homeostasis Modulator (CALHM) family of ICs. Through mutational analysis of co-conserved residues altered in human diseases and electrophysiological studies, we show that these evolutionarily-constrained residues play an important role in channel gating functions. Thus, by providing new tools and resources for performing large comparative analyses on ICs, this study addresses the unique needs of the IC community and provides the groundwork for accelerating the functional characterization of dark channels for therapeutic intervention.

CALHM1↗

PubMed1995

Prospects for a vaccine against human papillomavirus.

OBJECTIVE: To summarize existing data regarding the feasibility of developing strategies for prophylactic and therapeutic vaccination against human papillomavirus (HPV) infection. DATA SOURCES: We used the Medline data base and reference lists of articles to identify English-language papers that evaluate strategies for prophylactic and therapeutic vaccination against HPV infection. METHODS OF STUDY SELECTION: Our search uncovered several reports of systems that produce recombinant HPV major capsid proteins as antigens for biochemical, molecular, and immunologic studies and investigations that evaluate cell-mediated immune responses to HPV-induced, tumor-associated peptides. DATA EXTRACTION AND SYNTHESIS: Recombinant HPV major capsid proteins, which self-assemble into virus-like particles, are produced in quantity, mimic the conformation of native virions, react with neutralizing antibodies, and are type-specific. Human papillomavirus early viral peptides induce cytotoxic T lymphocyte responses that retard tumor progression and protect against tumor development after challenge in animal models. CONCLUSIONS: Recombinant papillomavirus virus-like particles are highly antigenic, protective in animal models, lack potentially carcinogenic viral DNA, and are, therefore, ideal candidates for a prophylactic vaccine against HPV infection. Immunization with HPV tumor peptides may be beneficial in tumor prevention, regression, and rejection. Vaccines against HPV infection can be important in reducing the incidence of cervical dysplasia and carcinoma worldwide, particularly in developing countries.

Animals↗

PubMed1995

Population genetic study among the Orange Asli (Semai Senoi) of Malaysia: Malayan aborigines.

A population genetic study was undertaken to provide gene frequency data on the additional blood genetic markers in the Semai and to estimate the genetic relations between the Semai and their neighboring and linguistically related populations by genetic distance and principal components analyses. Altogether 10 polymorphic and 7 monomorphic blood genetic markers (plasma proteins and red cell enzymes) were studied in a group of 349 Senoi Semai from 11 aboriginal settlements (villages) in the Pahang State of western Malaysia. Both the red cell glucose-6-phosphate dehydrogenase (G6PD) and 6-phosphogluconate dehydrogenase (PGD) loci reveal the presence of polymorphic frequencies of a nondeficient slow allele at the G6PD locus and a fast allele at the PGD locus. The Semai are characterized by high prevalences of ahaptoglobinemia and G6PD deficiency, high frequencies of HP*1, HB*E, RH*R1, ACP*C, GLO1*1, PGM1*2+, and GC*1F and corresponding low frequencies of ABO*A, HbCoSp, HB*B0, TF*D, CHI, and GC*2. Genetic distance analyses by both cluster and principal components models were performed between the Semai and 14 other populations (Malay; Javanese; Khmer; Veddah; Tamils of Malaysia, Sri Lanka, and India; Sinhalese; Oraon; Toda and Irula of India; Chinese; Japanese; Koreans) on the basis of 30 alleles at 7 polymorphic loci. A more detailed analysis using 53 alleles at 13 polymorphic loci with 10 populations was carried out. Both analyses give genetic evidence of a close relationship between the Semai and the Khmer of Cambodia. Furthermore, the Semai are more closely related to the Javanese than to their close neighbors--the Malay, Chinese, and Tamil Indians. There is no evidence for close genetic relationship between the Semai and the Veddah or other Indian tribes. The evidence fits well with the linguistic relationship of the Semai with the Mon-Khmer branch of the Austro-Asiatic language family.

Adolescent↗

PubMed1992

Molecular dynamics simulation on a network of workstations using a machine-independent parallel programming language.

Molecular dynamics simulations investigate local and global motion in molecules. Several parallel computing approaches have been taken to attack the most computationally expensive phase of molecular simulations, the evaluation of long range interactions. This paper reviews these approaches and develops a straightforward but effective algorithm using the machine-independent parallel programming language, Linda. The algorithm was run both on a shared memory parallel computer and on a network of high performance Unix workstations. Performance benchmarks were performed on both systems using two proteins. This algorithm offers a portable cost-effective alternative for molecular dynamics simulations. In view of the increasing numbers of networked workstations, this approach could help make molecular dynamics simulations more easily accessible to the research community.

Algorithms↗

PubMed1992

IPSA-Inductive Protein Structure Analysis.

The Inductive Structure Protein Analysis (IPSA) project presents a new method for investigating protein structure. IPSA includes the creation of a new database which was designed specifically for the analysis of protein structure by statistics and machine learning. The Protein Representation Language (PRL) database includes explicit and symbolic representations of geometrical, topological and chemophysical information about secondary structures and the relationships between secondary structures. The IPSA methodology consists of: the use of PRL information to produce a new database of examples of secondary structures which associate together (examples of possible super-secondary structures); then the use of a variety of clustering techniques to produce a consensus clustering of these examples (super-secondary structures); these super-secondary structures are finally examined to uncover any biological features of significance. We have applied this method to find simple super-secondary structures consisting of pairs of alpha-helices. We found four well-defined super-secondary structures, one formed exclusively by long range interactions, and another in association with an additional element of secondary structure (alpha t alpha-motif). Examinations were carried out using homologous pairs and conformational fits which confirm our clustering.

Cluster Analysis↗

PubMed1994

Design and application of PDBlib, a C++ macromolecular class library.

PDBlib is an extensible object-oriented class library written in C++ for representing the three-dimensional structure of biological macromolecules. The software design strategy, features of many of the 129 classes currently distributed with the library, and two sample applications which use the library are described. Version 1.0 of the library represents the structural features of proteins, DNA, RNA and complexes thereof, at a level of detail on a par with that which can be parsed from a Protein Data Bank (PDB) entry. However, the memory-resident representation of the macromolecule is independent of the PDB entry and can be obtained from other sources, e.g. relational and object-oriented databases. PDBlib classes are organized into four categories: (i) classes that model the macromolecule; (ii) classes that enhance the extensibility of the library; (iii) classes that provide navigation facilities of the object-oriented macromolecular structure representation; and (iv) a class that loads a PDB file into the memory-resident object-oriented representation. A number of general-purpose procedures that return features of this representation and that are relevant to all biological disciplines are included in (i). The library has been used to develop PDBtool, a prototype structure verification tool, and PDBview, a structure rendering tool that requires no specialized graphics hardware and software. Current work centers on making the macromolecular structures represented by PDBlib persistent using a commercial object-oriented database and providing an additional class library, MMQLlib, to query those structures.

Databases, Factual↗