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PubMed2002

InterPro: an integrated documentation resource for protein families, domains and functional sites.

The exponential increase in the submission of nucleotide sequences to the nucleotide sequence database by genome sequencing centres has resulted in a need for rapid, automatic methods for classification of the resulting protein sequences. There are several signature and sequence cluster-based methods for protein classification, each resource having distinct areas of optimum application owing to the differences in the underlying analysis methods. In recognition of this, InterPro was developed as an integrated documentation resource for protein families, domains and functional sites, to rationalise the complementary efforts of the individual protein signature database projects. The member databases - PRINTS, PROSITE, Pfam, ProDom, SMART and TIGRFAMs - form the InterPro core. Related signatures from each member database are unified into single InterPro entries. Each InterPro entry includes a unique accession number, functional descriptions and literature references, and links are made back to the relevant member database(s). Release 4.0 of InterPro (November 2001) contains 4,691 entries, representing 3,532 families, 1,068 domains, 74 repeats and 15 sites of post-translational modification (PTMs) encoded by different regular expressions, profiles, fingerprints and hidden Markov models (HMMs). Each InterPro entry lists all the matches against SWISS-PROT and TrEMBL (2,141,621 InterPro hits from 586,124 SWISS-PROT and TrEMBL protein sequences). The database is freely accessible for text- and sequence-based searches.

Algorithms↗

PubMed2000

InterPro--an integrated documentation resource for protein families, domains and functional sites.

MOTIVATION: InterPro is a new integrated documentation resource for protein families, domains and functional sites, developed initially as a means of rationalising the complementary efforts of the PROSITE, PRINTS, Pfam and ProDom database projects. RESULTS: Merged annotations from PRINTS, PROSITE and Pfam form the InterPro core. Each combined InterPro entry includes functional descriptions and literature references, and links are made back to the relevant parent database(s), allowing users to see at a glance whether a particular family or domain has associated patterns, profiles, fingerprints, etc. Merged and individual entries (i.e. those that have no counterpart in the companion resources) are assigned unique accession numbers. Release 1.2 of InterPro (June 2000) contains over 3000 entries, representing families, domains, repeats and sites of post-translational modification (PTMs) encoded by 6581 different regular expressions, profiles, fingerprints and Hidden Markov Models (HMMs). Each InterPro entry lists all the matches against SWISS-PROT and TrEMBL (more than 1000000 hits from 264333 different proteins out of 384572 in SWISS-PROT and TrEMBL).

Computational Biology↗

PubMed2026

HXMS: a standardized file format for HX-MS data.

MOTIVATION: Hydrogen/deuterium exchange-mass spectrometry (HX-MS) is a rapidly expanding technique used to investigate protein conformational ensembles. The growing popularity and utility of HX-MS has driven the development of diverse instrumentation and software, resulting in inconsistent, non-standardized data analysis and representation. Most HX-MS data formats also employ only mean deuteration representations of the data rather than full isotopic mass spectra, which reduces the information content of the data and limits downstream quantitative analysis. RESULTS: Inspired by reliable protein structure and genomics data formats, we present HXMS, a unified, lightweight, scalable, and human-readable file format for HX-MS data. The HXMS format preserves the isotopic mass envelopes for all peptides, captures the full experimental time-course including fully deuterated control samples, and contains all other key information. It supports multimodal distributions, post-translational modifications (PTMs), and experimental replicates. To promote compatibility with existing HX-MS workflows, we also developed PFLink, a Python package that converts exported data files from commonly used HX-MS software to the HXMS format. PFLink and the HXMS format will enable quantitative, higher-resolution data processing, improved data sharing and storage among HX-MS practitioners, future machine learning applications, and further developments in HX-MS analysis. AVAILABILITY AND IMPLEMENTATION: PFLink is publicly available to install locally on HuggingFace, alongside documentation, or use online at HuggingFace (https://huggingface.co/spaces/glasgow-lab/PFlink). The supplementary information includes sample input files, sample HXMS files, and a generic unfilled PFlink custom CSV file that users may populate with key experimental conditions and results, which can then be read and converted into the HXMS format.

Software↗

PubMed2003

Prediction of human protein function according to Gene Ontology categories.

MOTIVATION: The human genome project has led to the discovery of many human protein coding genes which were previously unknown. As a large fraction of these are functionally uncharacterized, it is of interest to develop methods for predicting their molecular function from sequence. RESULTS: We have developed a method for prediction of protein function for a subset of classes from the Gene Ontology classification scheme. This subset includes several pharmaceutically interesting categories-transcription factors, receptors, ion channels, stress and immune response proteins, hormones and growth factors can all be predicted. Although the method relies on protein sequences as the sole input, it does not rely on sequence similarity, but instead on sequence derived protein features such as predicted post translational modifications (PTMs), protein sorting signals and physical/chemical properties calculated from the amino acid composition. This allows for prediction of the function for orphan proteins where no homologs can be found. Using this method we propose two novel receptors in the human genome, and further demonstrate chromosomal clustering of related proteins.

Algorithms↗

PubMed2005

AutoMotif server: prediction of single residue post-translational modifications in proteins.

UNLABELLED: The AutoMotif Server allows for identification of post-translational modification (PTM) sites in proteins based only on local sequence information. The local sequence preferences of short segments around PTM residues are described here as linear functional motifs (LFMs). Sequence models for all types of PTMs are trained by support vector machine on short-sequence fragments of proteins in the current release of Swiss-Prot database (phosphorylation by various protein kinases, sulfation, acetylation, methylation, amidation, etc.). The accuracy of the identification is estimated using the standard leave-one-out procedure. The sensitivities for all types of short LFMs are in the range of 70%. AVAILABILITY: The AutoMotif Server is available free for academic use at http://automotif.bioinfo.pl/

Algorithms↗

PubMed2025

Global maintenance of histone post-translational modifications during the transition into anoxia in embryos of the annual killifish Austrofundulus limnaeus.

Many organisms have adapted to survive anoxic or hypoxic environments, but the epigenetic responses involved in this successful stress response are not well described in most species. Embryos of the annual killifish Austrofundulus limnaeus have the greatest tolerance to anoxia of all vertebrates, making them a powerful model to study the cellular mechanisms necessary for anoxia tolerance. However, the global histone landscape of this species has never been quantified or explored in relation to stress tolerance. Liquid chromatography-mass spectrometry and a Python bioinformatics workflow were used to identify histones and their post-translational modifications. This pipeline resulted in the detection of 252 unique biologically relevant histone post-translational modifications (hPTMs) (unimod + residue). These PTMs represent 16 types of biologically relevant hPTMs present during both anoxia and normoxia in Wourms' stage 36 embryos. This hPTM library presents an exciting opportunity to study histone modifications across development and in response to environmental stressors. No significant changes in PTM or histone abundance were observed between anoxic and normoxic embryos, suggesting that 24 h of anoxia is not sufficient to induce epigenetic or histone isoform changes at the organismal level. This result is inconsistent with data presented for similar stresses in mammalian cells and thus stabilization of the hPTM landscape may be an adaptation that supports anoxia tolerance.

anoxia↗

PubMed2006

dbPTM: an information repository of protein post-translational modification.

dbPTM is a database that compiles information on protein post-translational modifications (PTMs), such as the catalytic sites, solvent accessibility of amino acid residues, protein secondary and tertiary structures, protein domains and protein variations. The database includes all of the experimentally validated PTM sites from Swiss-Prot, PhosphoELM and O-GLYCBASE. Only a small fraction of Swiss-Prot proteins are annotated with experimentally verified PTM. Although the Swiss-Prot provides rich information about the PTM, other structural properties and functional information of proteins are also essential for elucidating protein mechanisms. The dbPTM systematically identifies three major types of protein PTM (phosphorylation, glycosylation and sulfation) sites against Swiss-Prot proteins by refining our previously developed prediction tool, KinasePhos (http://kinasephos.mbc.nctu.edu.tw/). Solvent accessibility and secondary structure of residues are also computationally predicted and are mapped to the PTM sites. The resource is now freely available at http://dbPTM.mbc.nctu.edu.tw/.

Amino Acids↗

PubMed2006

MeMo: a web tool for prediction of protein methylation modifications.

Protein methylation is an important and reversible post-translational modification of proteins (PTMs), which governs cellular dynamics and plasticity. Experimental identification of the methylation site is labor-intensive and often limited by the availability of reagents, such as methyl-specific antibodies and optimization of enzymatic reaction. Computational analysis may facilitate the identification of potential methylation sites with ease and provide insight for further experimentation. Here we present a novel protein methylation prediction web server named MeMo, protein methylation modification prediction, implemented in Support Vector Machines (SVMs). Our present analysis is primarily focused on methylation on lysine and arginine, two major protein methylation sites. However, our computational platform can be easily extended into the analyses of other amino acids. The accuracies for prediction of protein methylation on lysine and arginine have reached 67.1 and 86.7%, respectively. Thus, the MeMo system is a novel tool for predicting protein methylation and may prove useful in the study of protein methylation function and dynamics. The MeMo web server is available at: http://www.bioinfo.tsinghua.edu.cn/~tigerchen/memo.html.

Arginine↗

PubMed1999

Locating and identifying posttranslational modifications by in-source decay during MALDI-TOF mass spectrometry.

A technique is described for identifying and locating posttranslational modifications (PTMs) in peptides and proteins of known sequence by interpretation of c(n) ion signals generated by in-source decay during delayed ion extraction in matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Sites of phosphorylation in seven synthetic peptides were determined, as was the location of both the heme group and N,N,N-trimethyllysine in yeast cytochrome c. A semi-automated data analysis process facilitates the identification of segments of the sequence on each side of the PTM, permitting its placement at the junction of the segments and definition of the added mass. A graphical display facilitates illustration of both the location and mass of the PTM.

Amino Acid Sequence↗

PubMed2006

PPSP: prediction of PK-specific phosphorylation site with Bayesian decision theory.

BACKGROUND: As a reversible and dynamic post-translational modification (PTM) of proteins, phosphorylation plays essential regulatory roles in a broad spectrum of the biological processes. Although many studies have been contributed on the molecular mechanism of phosphorylation dynamics, the intrinsic feature of substrates specificity is still elusive and remains to be delineated. RESULTS: In this work, we present a novel, versatile and comprehensive program, PPSP (Prediction of PK-specific Phosphorylation site), deployed with approach of Bayesian decision theory (BDT). PPSP could predict the potential phosphorylation sites accurately for approximately 70 PK (Protein Kinase) groups. Compared with four existing tools Scansite, NetPhosK, KinasePhos and GPS, PPSP is more accurate and powerful than these tools. Moreover, PPSP also provides the prediction for many novel PKs, say, TRK, mTOR, SyK and MET/RON, etc. The accuracy of these novel PKs are also satisfying. CONCLUSION: Taken together, we propose that PPSP could be a potentially powerful tool for the experimentalists who are focusing on phosphorylation substrates with their PK-specific sites identification. Moreover, the BDT strategy could also be a ubiquitous approach for PTMs, such as sumoylation and ubiquitination, etc.

Amino Acid Sequence↗

PubMed2005

Molecular weight assessment of proteins in total proteome profiles using 1D-PAGE and LC/MS/MS.

BACKGROUND: The observed molecular weight of a protein on a 1D polyacrylamide gel can provide meaningful insight into its biological function. Differences between a protein's observed molecular weight and that predicted by its full length amino acid sequence can be the result of different types of post-translational events, such as alternative splicing (AS), endoproteolytic processing (EPP), and post-translational modifications (PTMs). The characterization of these events is one of the important goals of total proteome profiling (TPP). LC/MS/MS has emerged as one of the primary tools for TPP, but since this method identifies tryptic fragments of proteins, it has not generally been used for large-scale determination of the molecular weight of intact proteins in complex mixtures. RESULTS: We have developed a set of computational tools for extracting molecular weight information of intact proteins from total proteome profiles in a high throughput manner using 1D-PAGE and LC/MS/MS. We have applied this technology to the proteome profile of a human lymphoblastoid cell line under standard culture conditions. From a total of 1 x 10(7) cells, we identified 821 proteins by at least two tryptic peptides. Additionally, these 821 proteins are well-localized on the 1D-SDS gel. 656 proteins (80%) occur in gel slices in which the observed molecular weight of the protein is consistent with its predicted full-length sequence. A total of 165 proteins (20%) are observed to have molecular weights that differ from their predicted full-length sequence. We explore these molecular-weight differences based on existing protein annotation. CONCLUSION: We demonstrate that the determination of intact protein molecular weight can be achieved in a high-throughput manner using 1D-PAGE and LC/MS/MS. The ability to determine the molecular weight of intact proteins represents a further step in our ability to characterize gene expression at the protein level. The identification of 165 proteins whose observed molecular weight differs from the molecular weight of the predicted full-length sequence provides another entry point into the high-throughput characterization of protein modification.

Journal Article↗

PubMed1987

Effect of psychotropic medications on seizure control in patients with epilepsy.

Psychiatric problems are frequently encountered in patients with epilepsy. In an adult clinic population of 2,000 patients, 219 were identified as having been treated with psychotropic medication (PTM). Of these, 59 patients had adequate documentation of seizure frequency 2 months prior to and 2 months during treatment with PTMs. Contrary to many reports, most patients experienced better seizure control on PTM therapy. This demonstrates that most patients will not have an increased frequency of seizures when psychotropic medication is used in low to moderate doses and is introduced slowly.

Adolescent↗

PubMed1987

Effects of three contralateral maskers on pure-tone thresholds using manual audiometry.

This study investigated how central masking associated with low-level maskers would affect thresholds obtained using a standard clinical technique. Signals included 500, 1,000, 2,000, and 4,000 Hz; maskers, presented at 40 dB SL, consisted of (a) a wideband masker (WBM), (b) a narrow-band masker (NBM) centered about each signal frequency, and (c) a pure-tone masker (PTM) identical to each signal. Only the PTMs caused significant threshold shifts, that is, poorer masked thresholds. The WBM and NBMs caused no shift 60% of the time and a 5-dB threshold improvement 16% of the time. The findings weigh against the clinical use of a central-masking correction when a low-level WMB or NBM is used.

Acoustic Stimulation↗

PubMed2026

From glycosylation to inflammation: insights from NMR-Derived GlycA and GlycB.

Post-translational modifications (PTMs) play a crucial role in increasing proteomic diversity. N-linked glycosylation acts as a key regulatory layer that influences protein stability, trafficking, circulation, and immune responses. Unlike conventional inflammatory biomarkers that measure individual proteins, nuclear magnetic resonance (NMR) spectroscopy identifies the combined signals GlycA and GlycB from glycoproteins, offering an overall view of systemic glycoprotein changes. These signals represent the N-glycosylation patterns of several abundant acute-phase proteins (APPs), giving detailed molecular insights. This review offers a detailed assessment of GlycA and GlycB as mechanistically grounded indicators of liver glycoprotein remodeling and systemic inflammation. GlycA mainly indicates the levels and structural complexity of N-acetylglucosamine (GlcNAc) and N-acetylgalactosamine (GalNAc) residues linked to acute-phase glycoproteins and glycan branching. In contrast, GlycB reflects changes in terminal sialylation, which influences glycoprotein half-life, immune recognition via lectins, and inflammatory signaling. Collectively, these biomarkers combine measurements of hepatic APP production with variations in glycan structure, offering mechanistically anchored reporters of hepatic glycoprotein remodeling. We explore the enzymatic pathways responsible for N-glycan branching, fucosylation, and sialylation, as well as the roles of major APP scaffolds in the GlycA and GlycB resonances. We also highlight the emerging clinical significance of these signals across infectious, autoimmune, cardiovascular, metabolic, neurodegenerative, and cancer-related diseases. Rather than serving simply as markers of inflammation, GlycA and GlycB provide mechanistically interpretable readouts of cytokine-driven hepatic glycoprotein remodeling and systemic immune activation, supporting their application in disease risk stratification, longitudinal monitoring, therapeutic response assessment, and precision medicine.

GlycA↗

PubMedDate not supplied

Microcarcinoma and incidental carcinoma of the thyroid in a clinical series: clinical behaviour and surgical management.

OBJECTIVES: Papillary thyroid microcarcinomas (PTM) have not yet an agreed clinical management. The Authors compared PTMs with papillary thyroid carcinoma of larger size (LPTC) and incidental and not-incidental carcinomas. MATERIALS AND METHODS: Review of clinical data of 67 patients (54 women, 13 men) prospectively stored in a standardised way in an electronic patient record system. RESULTS: There were 36 cases of microcarcinoma (53.7%). Differences were not significant between PTM and LPTC groups as to patients personal data, TNM and MACIS staging, nodal involvement (8.3% vs 19.3%) and multifocality (25% vs 38.7%) while capsular invasion was significantly higher in LPTC (25% vs 54.8%). Nineteen incidental tumors were detected at pathological examination and they were all microcarcinomas. They were smaller than the remaining 17 not-incidental microcarcinomas but showed a similar clinical behaviour. There were not cancer related deaths nor recurrences in the follow up period in any group. CONCLUSIONS: Despite the excellent prognosis of PTM, a subset of these tumours shows aggressive biological and clinical features, like nodal or capsular invasion and multifocality. Actually, with the exclusion of size, they do not show any relevant difference from differentiated thyroid carcinoma of larger size. Since predictive cytogenetic markers are still missing, their treatment should then be the same as for conventional thyroid cancers.

Adult↗

PubMed1996

Paired transcranial magnetic stimulations and motor evoked potentials.

We studied the effect of varying interstimulus intervals (ISI) on the motor evoked potentials (MEP) using paired transcranial magnetic stimulation (PTMS) during relaxation and voluntary contraction of the abductor pollicis brevis. At ISI > or = 10 ms two independent MEPs could be evoked. At ISIs between 12-30 ms the amplitudes of the MEPs evoked by the second (test) stimuli had larger amplitude and shorter latencies than the MEPs evoked by the first (conditioning) stimuli. At an ISI of 50 ms the second MEP were similar to the first, between 75 and 100 ms the second MEPs were inhibited and at ISI of 200 and 400 ms the second MEPs showed almost similar amplitudes and latencies compared to the first. During voluntary contraction, the amplitudes of the first MEPs was higher compared to relaxed responses. The amplitudes of the second MEPs showed a similar pattern as the relaxed responses, but with a relatively smaller increase between 12-30 ms (p < 0.01), and less inhibition at 75 and 100 ms (p < 0.01). The study shows that conditioning stimuli 12-30 ms before the test stimulus facilitates the second MEP, and an ISI between 75-100 ms inhibit the second MEP. Voluntary contraction exerts a facilatory effect and reduce inhibition in the corticospinal neurons. These findings may reflects the changes in excitability and inhibition in the cortico-spinal neurons.

Adult↗

PubMed2024

SUMOylation controls Hu antigen R posttranscriptional activity in liver cancer.

The posttranslational modification of proteins critically influences many biological processes and is a key mechanism that regulates the function of the RNA-binding protein Hu antigen R (HuR), a hub in liver cancer. Here, we show that HuR is SUMOylated in the tumor sections of patients with hepatocellular carcinoma in contrast to the surrounding tissue, as well as in human cell line and mouse models of the disease. SUMOylation of HuR promotes major cancer hallmarks, namely proliferation and invasion, whereas the absence of HuR SUMOylation results in a senescent phenotype with dysfunctional mitochondria and endoplasmic reticulum. Mechanistically, SUMOylation induces a structural rearrangement of the RNA recognition motifs that modulates HuR binding affinity to its target RNAs, further modifying the transcriptomic profile toward hepatic tumor progression. Overall, SUMOylation constitutes a mechanism of HuR regulation that could be potentially exploited as a therapeutic strategy for liver cancer.

Animals↗

PubMed2025

ProteoformDB: A Built-In Application to Generate Proteoform Database.

Proteins play essential functions through their complex regulations on cell-type-specific expression, localization, and molecular complexes. Protein complexity is further enhanced by proteoforms, which are the diverse molecular forms that each gene can produce through genomic alterations, transcriptional variations, translational regulations, and protein modifications. Profiling of proteoforms is a promising method for gaining a deeper understanding of the role of proteins in biological pathways and disease mechanisms. Here, we developed ProteoformDB, an application tool for generating proteoform databases, and we cataloged a total of over one million unique single-site human proteoforms. We showed that ProteoformDB can serve as a valuable resource to document the experimentally identified proteoforms in a database, supporting protein characterization in quantitative proteomics for both total protein abundances and modified protein forms.

Humans↗