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At least 19 recordsLinked to original sources

PubMed2026

From Variability to Consensus: Rescoring Harmonizes Peptide Identification across Diverse Search Engines and Data Sets.

Peptide-spectrum match (PSM) rescoring has become standard in proteomics workflows, improving peptide identification accuracy across diverse search engines. Despite the availability of multiple rescoring strategies, systematic comparisons spanning several search engines, data sets, and database configurations remain limited. Here, we benchmarked seven publicly available search engines, evaluating standard target-decoy-based false discovery rate (FDR) estimation alongside Percolator, MS2Rescore, and Oktoberfest across four data sets acquired on different mass spectrometry platforms in data-dependent mode and searched against protein databases of varying size and composition. Rescoring substantially increased identification consensus and reduced variability between search engines, with prediction-based approaches yielding the largest gains. While database size had limited impact for human data sets, it significantly affected identification rates on a metaproteomic data set. Entrapment-based evaluation indicated generally adequate FDR control across methods, although prediction-based rescoring exhibited a higher tendency toward FDR underestimation in specific configurations. Overall, advanced rescoring strategies harmonize peptide identification outcomes across search engines, thereby enhancing robustness and comparability in proteomics analyses. However, careful feature selection and appropriate database choice remain essential to ensure reliable FDR control and optimal performance across diverse experimental settings.

Search Engine↗

PubMed2026

Published Database Resources for Traditional, Complementary, and Integrative Medicine: Update of a Systematic Review.

BACKGROUND: Traditional, Complementary, and Integrative Medicine (TCIM) has been established in the academic context of universities. In recent years, strategies have been developed worldwide to strengthen the role of TCIM in supporting the health of the population. Online databases are a common way for obtaining evidence-based information. This article is an update of a former systematic review from 2010 on published databases resources for TCIM. METHODS: The databases CINAHL, CAMbase, Web of Science, MEDLINE/PubMed, and Google Scholar search engine were searched for databases related to TCIM published in peer-reviewed journals between 2010 and November 2024. All included databases were visited online, and information on the origin, content, and scope of the database was extracted. RESULTS: A total of 6579 articles were identified through the literature search. After exclusion of irrelevant articles, full-text screening of 127 articles yielded 37 new databases. Together with 16 still available old databases, these mainly contained information on herbal therapies (n = 15) and Traditional Chinese Medicine (n = 11) from 18 different countries. Newly identified medicinal plant databases offer various scientific resources such as crude drugs, indigenous plants, and structures for natural and phytochemical components with molecular biological content. CONCLUSIONS: This literature review illustrates the dynamic development in the database landscape over the last 15 years. While the number of bibliographic databases is shrinking, databases in the field of medical plants/herbal therapy content are on the rise, which might be due to advances in plant genomics and molecular biology.

Humans↗

PubMed2026

Advancing proteomic discovery through optimized multi-stage scoring and deep learning-enhanced open search.

MOTIVATION: Protein search engines are essential for interpreting mass spectrometry data into biological insight. Current tools often face limitations in sensitivity when analyzing complex modern datasets, and lack a unified framework that effectively integrates deep learning features for both restricted and open searches, especially for scenarios aimed at discovering unknown modifications. RESULTS: We present pFind+, a high-performance search engine for data-dependent acquisition (DDA) proteomics, extending pFind. It introduces an enhanced raw scoring that delivers substantially improved pre-filtering ability, while recovering most of the computational overhead through a tailored acceleration strategy. Coupled with an enhanced rescoring framework that effectively integrates deep learning features, pFind+ uniquely supports high-sensitivity, DL-enhanced open search, enabling comprehensive PTM discovery while incorporating hardware-aware inference optimizations for practical deployment. Evaluations across diverse datasets demonstrate its superior sensitivity, with gains of 12.7%-29.3% (average 17.9%) in restricted search and 8.0%-38.4% (average 25.8%) in open search over the best existing tools.

Deep Learning↗

PubMed2025

OLS4: a new Ontology Lookup Service for a growing interdisciplinary knowledge ecosystem.

SUMMARY: The Ontology Lookup Service (OLS) is an open source search engine for ontologies which is used extensively in the bioinformatics and chemistry communities to annotate biological and biomedical data with ontology terms. Recently, there has been a significant increase in the size and complexity of ontologies due to new scales of biological knowledge, such as spatial transcriptomics, new ontology development methodologies, and curation on an increased scale. Existing Web-based tools for ontology browsing such as BioPortal and OntoBee do not support the full range of definitions used by today's ontologies. In order to support the community going forward, we have developed OLS4, implementing the complete OWL2 specification, internationalization support for multiple languages, and a new user interface with UX enhancements such as links out to external databases. OLS4 has replaced OLS3 in production at EMBL-EBI and has a backward compatible API supporting users of OLS3 to transition. AVAILABILITY AND IMPLEMENTATION: The source code of OLS is available at https://github.com/EBISPOT/ols4 and DOI 10.5281/zenodo.14960290 with Apache 2.0 License. A freely available implementation is accessible at https://www.ebi.ac.uk/ols4.

Biological Ontologies↗

PubMed1992

The MEDLINE Button.

We have developed a computerized method for performing bibliographic searches directly from patient data involving five steps: 1) identifying specific patient data which raises a question in the mind of the user, 2) selection (from a list of generic questions) of a small number of questions which fit the selected patient data, 3) automated translation of the patient data into appropriate terms used for bibliographic indexing, 4) conversion of the question selected by the user into a search strategy, and 5) transfer of the search strategy to a search engine for a bibliographic database. We have modified the Columbia-Presbyterian Clinical Information System to experiment with this method. The first implementation converts patient diagnoses and procedures coded in ICD9-CM into Medical Subject Headings (MeSH) and searches Medline using BRS/Onsite. Challenges include development of a useful set of generic questions and translation from ICD9-CM to MeSH using the Unified Medical Language System (UMLS).

Diagnosis, Computer-Assisted↗

PubMed2026

Protein Language Model Decoys for Target Decoy Competition in Proteomics: Quality Assessment and Benchmarks.

Large-scale proteomics relies heavily on target-decoy competition for false discovery rate estimation in peptide identification, and the performance of this strategy depends strongly on the design of the decoy database. Classical generators such as reversal and shuffling remain widely used. Here, we introduce the first protein language model-based (PLM) decoy generation for peptide identification and benchmark it against classical strategies. We evaluate these approaches using three complementary quality-control layers: sequence-based separability, search-engine-agnostic spectral-space diagnostics, and end-to-end mass spectrometry benchmarks, including pipelines with rescoring. Across these analyses, PLM-based decoys are harder for sequence-only neural networks to distinguish than most classical generators, suggesting fewer obvious sequence-level artifacts. However, this signal is only weakly informative for search performance. Spectral diagnostics further show that short peptides occupy a particularly crowded target-decoy space and are therefore especially prone to local collisions across all generators. In full search pipelines, reverse decoys remain a strong baseline, and current PLM-based generators do not yet provide a clear overall advantage. We therefore view PLM-based decoys not as universal replacements for reverse decoys but as tunable tools for benchmarking, diagnostics, stress testing, and future adaptive decoy optimization, with increasing value as search models become more expressive.

Proteomics↗

PubMed1992

PATMAT: a searching and extraction program for sequence, pattern and block queries and databases.

A program has been developed that provides molecular biologists with multiple tools for searching databases, yet uses a very simple interface. PATMAT can use protein or (translated) DNA sequences, patterns or blocks of aligned proteins as queries of databases consisting of amino acid or nucleotide sequences, patterns or blocks. The ability to search databases of blocks by 'on-the-fly' conversion to scoring matrices provides a new tool for detection and evaluation of distant relationships. PATMAT uses a pull-down, menu-driven interface to carry out its multiple searching, extraction and viewing functions. Each query or database type is recognized, reported, and the appropriate search carried out, with matches and alignments reported in windows as they occur. Any of the high scoring matches can be exported to a file, viewed and recalled as a query using only a few keystrokes or mouse selections. Searches of multiple database files are carried out by user selection within a window. PATMAT runs under DOS; the searching engine also runs under UNIX.

Amino Acid Sequence↗

PubMed2026

Foundation model enables interpretable open and error-tolerant searching for mass spectrometry-based proteomics.

MOTIVATION: Mass spectrometry-based proteomics allows studying all proteins of a sample on a molecular level. However, mass spectra are noisy and contain complex patterns, making them inherently challenging to analyze with algorithmic approaches. In terms of the protein sequence landscape, most recent bottom-up MS-based proteomics studies consider either a diverse pool of post-translational modifications, employ large databases-as in metaproteomics or proteogenomics, study multiple isoforms of proteins, include unspecific cleavage sites or even combinations thereof. All this makes peptide and protein identifications challenging. RESULTS: Here, we present a foundation model, called yHydra, that jointly embeds spectra and peptides. This allows us to implement various downstream tasks and search modes in Euclidean space. We implement an open search which allows querying multiple ten-thousands of spectra against millions of peptides. Furthermore, we implement an error-tolerant search for identifying additional proteoforms that are not included in off-the-shelf reference proteomes. Our foundation model provides meaningful embeddings, as we interpret learned peptide embeddings in comparison to the peptide's physico-chemical properties. Hydra's open search, assigns delta masses to each identification which allows to unrestrictedly characterize post-translational modifications. The error-tolerant mode of yHydra can be used as post-processing to existing search engines or as a standalone. yHydra is evaluated on several real life data sets for the identification of modified peptide sequences and shows up to 25% increase in peptide identification at constant false discovery rate compared to the current state-of-the-art. AVAILABILITY AND IMPLEMENTATION: Code is available on Gitlab: https://gitlab.com/dacs-hpi/yHydra, and https://gitlab.com/dacs-hpi/yHydra_train.

Proteomics↗

PubMed2026

A full review of online education resources available on antifungal stewardship.

BACKGROUND AND OBJECTIVES: Antifungal resistance represents an increasing global threat, driven by the rising burden of fungal disease. Antifungal stewardship (AFS) is a critical component of broader antimicrobial resistance (AMR) efforts, but education in this area remains less established than antibacterial stewardship initiatives. The scope and characteristics of the current landscape of online AFS resources have not yet been systematically described. To identify and evaluate online educational resources focused on fungal disease management and AFS, and assess their accessibility, format, educational design and implementation focus. METHODS: A structured search of internet search engines, distribution platforms and organizational websites was conducted to identify English-language web-based resources related to fungal disease management and stewardship. Resources were evaluated using predefined criteria including access model, format, length, educational design, interactivity and AFS content. An overall educational value score (1-10) was assigned. RESULTS: Twenty-three educational resources were identified. Most were delivered as online unfacilitated courses (11, 48%) and were short (<4 h) (12, 52%). Most focused on guidelines and syndromic management (18, 78%) and targeted doctors and/or nurses/midwives (22, 96%). Limited interactivity was reported in nine (39%) courses. Five courses (22%) had either a substantial or comprehensive focus on AFS. CONCLUSIONS: Online AFS educational resources are available and support awareness and knowledge development. However, they remain relatively few in number. Greater emphasis on implementation-focused learning, behaviour change components and broader global representation may enhance their impact.

Journal Article↗

PubMed2025

Carafe enables high quality in silico spectral library generation for data-independent acquisition proteomics.

Data-independent acquisition (DIA)-based mass spectrometry is becoming an increasingly popular mass spectrometry acquisition strategy for carrying out quantitative proteomics experiments. Most of the popular DIA search engines make use of in silico generated spectral libraries. However, the generation of high-quality spectral libraries for DIA data analysis remains a challenge, particularly because most such libraries are generated directly from data-dependent acquisition (DDA) data or are from in silico prediction using models trained on DDA data. In this study, we developed Carafe, a tool that generates high-quality experiment-specific in silico spectral libraries by training deep learning models directly on DIA data. We demonstrate the performance of Carafe on a wide range of DIA datasets, where we observe improved fragment ion intensity prediction and peptide detection relative to existing pretrained DDA models. To make Carafe more accessible to the community, we have integrated Carafe into the widely used Skyline tool.

Journal Article↗

PubMed2025

Influence of genetic factors of humans, mosquitoes and parasites, on the evolution of Plasmodium falciparum infections, malaria transmission and genetic control methods: a review of the literature.

Despite significant progress, malaria remains a public health problem in many regions, particularly in sub-Saharan Africa. This situation is partly explained by the mosquito's resistance to insecticides and the emergence of parasite resistance to antimalarial drugs. Indeed, in spite of the various vectors' controls, insecticide resistance emerges from multi-generational selection and poses worldwide concern. In parallel, artemisinin resistance unfortunately emerged independently in multiple countries in eastern Africa. Since 2014, artemisinin resistance has been observed in 6 countries in Africa and, more concerningly, the evidence from longitudinal molecular surveys in these countries suggests that it is spreading. While phenotypic evidence of treatment failure is still limited, the increasing reports of validated artemisinin resistance mutations are alarming. Unlike the emergence of artemisinin resistance in South-East Asia, our understanding of the genetic determinants of artemisinin resistance and our ability to sequence and map the spread of resistance are significantly greater. In addition to mosquito and parasite genetics affecting malaria evolution, many human individual variants have been identified that are associated with malaria protection, but the most important of all relates to the structure or function of red blood cells, the classical polymorphisms that causes sickle cell trait, α-thalassaemia, G6PD deficiency, and the major red cell blood group variants. In that biological complex context, there is a need to characterize the various genetic factors in Plasmodium falciparum, humans and mosquitoes that are potentially associated with resistance to antimalarial drugs and insecticides, and their involvement in the evolution, severity and transmission of malaria. In this direction, A comprehensive literature review was conducted to capture the objectives highlighted above. The advances in genomic surveillance and emerging genetic control strategies, such as gene drive technology were also considered in this review. We used search engines such as PubMed and Google scholar to retrieve articles useful to the objective of this paper and information on the knowledge of genetic factors and methods that contributed to malaria control were synthesized.

Humans↗

PubMedDate not supplied

Searching and citing clinical engineering literature.

Explore the source record for details and available documents.

Biomedical Engineering↗

PubMed1992

[Molecular engineering of hemoglobin for transfusion].

The search for a safe alternative to conventional blood transfusion has been directed towards either the use of synthetic perfluorochemicals or the biochemical manipulation of highly purified stroma-free Hb solutions prepared from outdated bank blood. However when using human blood, one does not eliminate the risks of viral infections. A novel source of Hb appeared with recent biotechnology techniques enabling one to synthesize recombinant Hb from microorganisms (E coli or S. cerevisiae) whose genome has been modified to contain globin genes. Normal human Hb A in solution, i.e. outside the red cells, is not suited for direct usage as a blood substitute because i) its high oxygen affinity, due to the absence of 2,3 DPG in the plasma, precludes sufficient O2 unloading to the tissues; ii) at low concentration, relative to that in the red cells, tetrameric Hb dissociates into dimers which escape the circulatory system by renal filtration or rapidly oxidize to the non functional metHb form. Expression of alpha- and beta-globins in Escherichia coli and in Saccharomyces cerevisiae enables one to introduce appropriate mutation(s) in the globin genes resulting in the expression of a synthetic Hb with low oxygen affinity, resembling that of normal whole blood; functional Hb has also been produced in a soluble form either in E. coli or in yeast. The coexpression of beta globin chains and alpha globin subunits linked by a peptide bond results in the direct synthesis of stabilized and fully functional Hb tetramers. Lastly, dilute haemoglobin solutions are prone to autooxidize and the rate of oxidation appears to be inversely proportional with the oxygen affinity of the heme groups.(ABSTRACT TRUNCATED AT 250 WORDS)

Animals↗

PubMed1992

Potential of genetic algorithms in protein folding and protein engineering simulations.

Genetic algorithms are very efficient search mechanisms which mutate, recombine and select amongst tentative solutions to a problem until a near optimal one is achieved. We introduce them as a new tool to study proteins. The identification and motivation for different fitness functions is discussed. The evolution of the zinc finger sequence motif from a random start is modelled. User specified changes of the lambda repressor structure were simulated and critical sites and exchanges for mutagenesis identified. Vast conformational spaces are efficiently searched as illustrated by the ab initio folding of a model protein of a four beta strand bundle. The genetic algorithm simulation which mimicked important folding constraints as overall hydrophobic packaging and a propensity of the betaphilic residues for trans positions achieved a unique fold. Cooperativity in the beta strand regions and a length of 3-5 for the interconnecting loops was critical. Specific interaction sites were considerably less effective in driving the fold.

Algorithms↗

PubMedDate not supplied

Cochlear prostheses. A state-of-the-art review.

Work on cochlear prostheses for the auditory rehabilitation of the profoundly deaf represents a challenging problem. Some early, but perhaps premature, surgical attempts have helped to bring the entire issue into focus. Systemic studies are now under way in many different places. Although the purely engineering problems as well as the surgical ones appear solvable at this time, the remaining unsolved problems lie in two areas: 1) the bioengineering interfacing, i.e., the search for methods needed to connect an engineering (electronic) device to the neural auditory system in an efficient manner; and 2) clinical tests for the assessment of the functional state of the cochlear nerve.

Acoustics↗

PubMed2026

Phage bioinformatics tools: a review of computational approaches for bacteriophage research.

Rising clinical interest in phage therapy and the exponential growth of metagenomic sequence catalogues have driven a rapid expansion of bacteriophage bioinformatics. More than 80 dedicated tools, mostly published since 2020, now span identification, assembly, annotation, taxonomy, lifestyle prediction, defence-system detection, and host prediction. Aimed at experienced practitioners and developers, this review synthesizes the field through the lens of three successive computational paradigms: sequence homology, bounded by database completeness; machine learning, constrained by labelled training data; and foundation models, which now achieve Matthews correlation coefficients above 0.95 in identification tasks and, through structure-informed prediction, raise functional annotation to over half of phage genes. Furthermore, we map the upstream components, namely, gene callers, homology engines, protein language models, and structural search tools, that underpin most downstream pipelines, exposing shared infrastructure and ecosystem-level fragility when dependencies change. To translate this into practice, we propose web-based and command-line reference workflows calibrated to user expertise and sample types. Finally, we set an agenda for the next wave of tool development. Roughly half of phage genes still resist functional annotation despite structural methods; no broadly generalizable strain-level host predictor exists for phage therapy; varying true-positive rates (0%-97%) underscore the absence of standardized community benchmarks analogous to Critical Assessment of Structure Prediction or Critical Assessment of Metagenome Interpretation. As generative genome models begin designing synthetic phages, progress will depend less on producing standalone tools than on rigorous evaluation, interoperable infrastructure, and clinically meaningful prediction targets.

Computational Biology↗

PubMed1990

Eukaryotic coupled translation of tandem cistrons: identification of the influenza B virus BM2 polypeptide.

Previous nucleotide sequence analysis of RNA segment 7 of influenza B virus indicated that, in addition to the reading frame encoding the 248 amino acid M1 protein, there is a second overlapping reading frame (BM2ORF) of 585 nucleotides that has the coding capacity for 195 amino acids. To search for a polypeptide product derived from BM2ORF, a genetically engineered beta-galactosidase-BM2ORF fusion protein was expressed in Escherichia coli and a polyclonal rabbit antiserum was raised to the purified fusion protein. This antiserum was used to identify a polypeptide, designated BM2 protein (Mr approximately equal to 12,000), that is synthesized in influenza B virus-infected cells. To understand the mechanism by which the BM2 protein is generated from influenza B virus RNA segment 7, a mutational analysis of the cloned DNA was performed and the altered DNAs were expressed in eukaryotic cells. The expression patterns of the M1 and BM2 proteins from the altered DNAs indicate that the BM2 protein initiation codon overlaps with the termination codon of the M1 protein in an overlapping translational stop-start pentanucleotide, TAATG, and that the expression of the BM2 protein requires 5'-adjacent termination of M1 synthesis. Our data suggest that a termination-reinitiation scheme is used in translation of a bicistronic mRNA derived from influenza B virus RNA segment 7, and this strategy has some analogy to prokaryotic coupled stop-start translation of tandem cistrons.

Animals↗

PubMed1991

Characteristics of Israeli women studying nursing compared to women studying education and engineering.

This study examined the demographic characteristics, vocational personality, and sex-role orientation of Israeli women studying nursing compared to women studying education and engineering. The convenience sample was 176 university students. The instrument included a demographic inventory, Holland's Self-Directed Search (SDS) questionnaire, and the Sex-Role Orientation Attitude questionnaire. Nursing and education students had Holland's "social" personality types and engineering students were more "realistic" or "investigative". Nursing and engineering students were significantly more feminist in their orientation than education majors. Nursing students were nontraditional women who had traditional family backgrounds, yet were nontraditional in their feminist orientation. With nursing's move into colleges and universities, the need for academically qualified applicants has intensified. Developing a better understanding of the unique nature of nursing and nursing students is a challenge.

Adult↗