Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “LLM”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 73 records · Page 4Linked to original sources
PubMed1982

A simplified medium for detecting the effect of lecithin on the growth of Propionibacterium acnes.

Thirty strains of Propionibacterium acnes were assayed to detect the effect of lecithin on their growth and to test the nutritional requirement of this bacterium for this phospholipid. The liquid lecithin medium (LLM) and solid lecithin medium (SLM), containing purified bovine lecithin (PBL) supported the growth of P. acnes strains assayed. Two percent PBL, which was an optimal concentration of lecithin (w/v in LLM and SLM) for the normal growth of P. acnes, was found to be inhibitory for the growth of a strain of Staphylococcus aureus tested. the growth of P. acnes in lecithin media was consistently comparable to the growth patterns of P. acnes in complex media. These results indicated that lecithin in lower concentrations than 2% stimulated the growth of P. acnes. There was an indication that this bacterium may produce enzymes capable of hydrolyzing this phosphoglyceride, incorporated in a defined basal medium, to use it as a source of carbon, energy and fatty acids.

Culture Media↗
PubMed1993

Chromosome typing in lymphangioleiomyomatosis of the lung with and without tuberous sclerosis.

Two cases of lymphangioleiomyomatosis (LLM) of the lungs are compared, one with tuberous sclerosis and the other representing an isolated lung involvement. An increased frequency of complex chromosomal rearrangements was found in peripheral lymphocytes of the patient with tuberous sclerosis, in comparison to the patient with isolated lymphangioleiomyomatosis. Telomeric associations were found in cultured pulmonary smooth muscle cells from the patient with isolated LLM.

Adult↗
PubMedDate not supplied

[Milk microaspiration as a cause of recurrent bronchial obstruction in infants].

The presence of Lipid-Laden alveolar macrophages (L.L.M.) obtained by pharyngeal aspiration an stained by a modification of the Papanicolau staining procedure as prospectively evaluated in populations of milk-fed infants, under one year old, with a history of two or more episodes of obstructive bronchitis (n = 53), and compared to 29 control infants. Twenty-one infants (39%) with a past history of recurrent bronchitis were positive for the presence of LLM. The absence of LLM in 29 control infants suggest that the aspiration may be one cause of recurrent bronchitis in infants.

Airway Obstruction↗
PubMed2003

The safety of the donor operation in living-donor liver transplantation: an analysis of 45 donors.

We retrospectively assessed the safety of the donor operation, based on parameters such as blood loss, blood transfusion, operation time, duration of hospitalization, and complications. Forty-five pediatric and adult recipients underwent living-donor liver transplantation (LDLTx) in Tohoku University Hospital from July 1991 to October 2000. Donor operations were classified into three groups. In the LS group, the graft was the lateral segment ( n=20); in the LL group, the graft was the left lobe without the middle hepatic vein ( n=16); and in the LLM group, the graft was the left lobe with the middle hepatic vein ( n=9). No significant differences were observed among the three groups regarding postoperative liver function or duration of hospitalization. In the LS group, the operation time was shorter and the requirement of autologous blood transfusion was significantly lower than in the other two groups. Most complications following retrieval of the graft were minor. Safety is guaranteed when the left lobe or the left lateral segment is used for LDLTx, but meticulous management of the operation is required to prevent complications.

Adult↗
PubMed2004

Competition between wild-type virus and a reassortant from subgroups I and II of CMV and activation of antiviral responses in cowpea.

To investigate the interactions between RNA3 and RNA4 from subgroups I and II in mixed infections, accumulation of CMV RNA were analyzed. In the mixed inoculation assays with CMV-LE (LE, subgroup I) and a reassortant LLm consisting of RNA1 and RNA2 from LE, and RNA3 from CMV-m2 (m2, subgroup II), LE RNA3 and RNA4 could systemically spread in the plants, whereas those of m2 could not. Furthermore, accumulation of virus short RNA and a cowpea-encoded RNA-directed RNA polymerase gene (VuRdRP1) mRNA were found in the plants, suggesting that VIGS and/or distinct antiviral responses (was) were activated by infection with CMV.

Cucumovirus↗
PubMed2026

Multimodal alignment improves generalizability of genomic biomarker prediction in computational pathology.

Computational pathology models that use digitized histopathology whole-slide images have the potential to become a cost-effective and scalable alternative to molecular assays for the prediction of genomic biomarkers, a key task in precision oncology. However, as new genomic biomarkers are discovered or quantified, large, labeled datasets must be prospectively collected to train new models. To address this challenge, we developed multimodal alignment for biomarker learning and generalization (MARBLE), a multimodal contrastive pretraining strategy that integrates structured biomarker knowledge into representation learning of histopathology images. MARBLE aligns histopathology-derived representations with representations of genomic biomarkers generated by a large language model (LLM) and a protein language model (PLM). This biologically informed alignment enables data-efficient generalization to novel, out-of-distribution biomarkers. Using the MSK-IMPACT cohort of over 40,000 patients across multiple biomarker panel versions, we design experiments grounded in real-world data to demonstrate the value of our proposed approach.

CP: computational biology↗
PubMed1993

Evidence for the presence of five distinct proteolytic components in the pituitary multicatalytic proteinase complex. Properties of two components cleaving bonds on the carboxyl side of branched chain and small neutral amino acids.

Initial studies on the specificity of the multicatalytic proteinase complex (MPC; EC 3.4.99.46) led to the identification of three distinct proteolytic components designated as trypsin-like, chymotrypsin-like, and peptidylglutamyl-peptide hydrolyzing, all sensitive to inactivation by 3,4-dichloroisocoumarin (DCI), a general serine proteinase inhibitor. The three components cleave the peptidyl-arylamide bonds in the model synthetic substrates, Z-(D)-Ala-Leu-Arg-2-naphthylamide, Z-Gly-Gly-Leu-p-nitroanilide, and Z-Leu-Leu-Glu-2-naphthylamide, respectively. We report here evidence for the presence in the MPC of two additional distinct components, neither of them capable of cleaving the three model substrates. One of these components cleaves the Leu-Gly and the Leu-Ala bonds in the substrates Cbz-Gly-Pro-Ala-Leu-Gly-p-aminobenzoate and Cbz-Gly-Pro-Ala-Leu-Ala-p-aminobenzoate, respectively, and is activated by treatment of the MPC with DCI, N-ethylmaleimide, Mg2+, Ca2+, and low concentrations of sodium dodecyl sulfate and fatty acids. This component is apparently identical with the previously identified DCI-resistant component of the MPC that cleaves preferentially bonds on the carboxyl side of branched chain amino acids in natural peptides including neurotensin and proinsulin [Cardozo, C., Vinitsky, A., Hidalgo, M. C., Michaud, C., & Orlowski, M. (1992) Biochemistry 31, 7373-7380]. It is probably also identical with the component proposed to be the main factor responsible for the caseinolytic activity [Pereira, M. E., Nguyen, T., Wagner, B. J., Margolis, J. W., Yu, B., & Wilk, S. (1992a) J. Biol. Chem. 267, 7949-7955]. The designation "branched chain amino acid preferring" (BrAAP) is proposed for this component. The second component cleaves peptide bonds between the small neutral amino acids Ala-Gly and Gly-Gly in the substrates Cbz-Gly-Pro-Ala-Ala-Gly-p-aminobenzoate and Cbz-Gly-Pro-Ala-Gly-Gly-p-aminobenzoate, respectively. This component is sensitive to inactivation by DCI, N-ethylmaleimide, and organic mercurials, but unlike the BrAAP it is significantly activated neither by Mg2+ or Ca2+ nor by fatty acids or sodium dodecyl sulfate. The designation "small neutral amino acid preferring" (SNAAP) is proposed for this component. Both components are sensitive to inhibition by the peptidyl-aldehydes N-acetyl-Leu-Leu-norleucinal (Ac-LLnL-CHO; calpain inhibitor I) and N-acetyl-Leu-Leu-methioninal (Ac-LLM-CHO; calpain inhibitor II) but are resistant to inhibition by Z-LLF-CHO, a potent inhibitor of the chymotrypsin-like activity.(ABSTRACT TRUNCATED AT 400 WORDS)

Amino Acid Sequence↗
PubMed1992

Inhibition of the chymotrypsin-like activity of the pituitary multicatalytic proteinase complex.

The multicatalytic proteinase complex (MPC), also referred to as proteasome, is a large molecular mass intracellular particle (approximately 700 kDa), which exhibits three distinct proteolytic activities designated as chymotrypsin-like, trypsin-like, and peptidylglutamyl-peptide hydrolyzing (PGPH), all sensitive to inhibition by 3,4-dichloroisocoumarin (DCI). The presence of a component resistant to inhibition by DCI with an apparent preference toward bonds on the carboxyl side of branched-chain amino acids has also been recently established. Peptide aldehydes and peptide alpha-keto esters containing a hydrophobic residue in the P1 position have been tested as potential inhibitors of the chymotrypsin-like activity. Three peptide aldehydes (benzyloxycarbonyl)-Leu-Leu-phenylalaninal (Z-LLF-CHO), N-acetyl-Leu-Leu-norleucinal (Ac-LLnL-CHO), and N-acetyl-Leu-Leu-methioninal (Ac-LLM-CHO) were found to be slow-binding reversible inhibitors with Ki values of 0.46, 5.7, and 33 microM, respectively. The simplest kinetic model for inhibition is consistent with a mechanism involving a slow and reversible association of the enzyme with the inhibitor to form a EI complex. The aldehyde inhibitors also inhibited the trypsin-like and PGPH activities of the complex albeit with much higher Ki values than those for chymotrypsin-like activity. Z-LLF-CHO, the most selective of the three aldehydes, did not inhibit the PGPH activity at concentrations of up to 200 microM and inhibited the trypsin-like activity with a Ki approximately 2 orders of magnitude higher than that for the chymotrypsin-like activity. The activity of the DCI-resistant component was not affected by Z-LLF-CHO.(ABSTRACT TRUNCATED AT 250 WORDS)

Amino Acid Sequence↗
PubMed1997

Specificities of cell permeant peptidyl inhibitors for the proteinase activities of mu-calpain and the 20 S proteasome.

Cell-permeant peptidyl aldehydes and diazomethylketones are frequently utilized as inhibitors of regulatory intracellular proteases. In the present study the specificities of several peptidyl inhibitors for purified human mu-calpain and 20 S proteasome were investigated. Acetyl-LLnL aldehyde, acetyl-LLM aldehyde, carbobenzyloxy-LLnV aldehyde (ZLLnVal), and carbobenzyloxy-LLY-diazomethyl ketone produced half-maximum inhibition of the caseinolytic activity of mu-calpain at concentrations of 1-5 x 10(-7) M. In contrast, only ZLLnVal was a reasonably potent inhibitor of the caseinolytic activity of 20 S proteasome, producing 50% inhibition at 10(-5) M. The other inhibitors were at least 10-fold less potent, producing substantial inhibition only at near saturating concentrations in the assay buffer. Further studies with ZLLnVal demonstrated that its inhibition of the proteasome was independent of casein concentration over a 25-fold range. Proteolysis of calpastatin or lysozyme by the proteasome was half-maximally inhibited by 4 and 22 microM ZLLnVal, respectively. Thus, while other studies have shown that ZLLnVal is a potent inhibitor of the hydrophobic peptidase activity of the proteasome, it appears to be a much weaker inhibitor of its proteinase activity. The ability of the cell permeant peptidyl inhibitors to inhibit growth of the yeast Saccharomyces cerevisiae was studied because this organism expresses proteasome but not calpains. Concentrations of ZLLnVal as high as 200 microM had no detectable effect on growth rates of overnight cultures. However, yeast cell lysates prepared from these cultures contained 2 microM ZLLnVal, an amount which should have been sufficient to fully inhibit hydrophobic peptidase activity of yeast proteasome. Degradation of ubiquitinylated proteins in yeast extracts by endogenous proteasome was likewise sensitive only to high concentrations of ZLLnVal. The higher sensitivity of the proteinase activity of calpains to inhibition by the cell permeant inhibitors suggests that calpain-like activities may be targets of these inhibitors in animal cells.

Acetylcysteine↗
PubMed1999

Antibiotic resistance as a stress response: complete sequencing of a large number of chromosomal loci in Staphylococcus aureus strain COL that impact on the expression of resistance to methicillin.

Tn551 inactivation has identified several determinants--fem or auxiliary genes--that, in addition to the mecA gene, are also critical for the expression of high-level and homogeneous resistance to methicillin. Genetic and/or biochemical analysis has shown that of the nearly dozen aux mutations described so far most are in genes involved in cell wall synthesis (murE, pbp2, glmM, glnR, femA/B, llm, etc.) or in complex regulatory functions (sigmaB), suggesting that optimal expression of resistance may involve the cooperative functioning of a number of genes in cell wall metabolism as well as stress response. The exact mechanism of these functions is not known. In an attempt to explore this unusual aspect of methicillin resistance more fully, a Tn551 transposon library, constructed in the background of the highly and homogeneously methicillin-resistant Staphylococcus aureus strain COL, was screened for all independent insertional mutants in which the level of methicillin resistance of the parental strain (MIC, 1,600 microg/ml) was reduced by at least 15-fold and up to 500-fold. We now describe the sequencing of 21 Tn551-inactivated genes and their vicinities in 23 new auxiliary mutants that have been studied before. Using the inverted polymerase chain reaction (IPCR), we amplified fragments corresponding to the right and left junction of the Tn551 insertions, which were then sequenced by primer walking. The two largest groups of these new auxiliary genes encoded either proteins of unknown functions (6 genes) or showed homology with genes encoding proteins involved with putative sensory/regulatory activities (7 genes: protein kinases, ABC transporters, and a catabolite control protein). Sequencing upstream and downstream allowed the identification of a number of additional open reading frames, some of which may also include functions relevant for the expression of antibiotic resistance.

Bacterial Proteins↗
PubMed2026

OmniExtract: an automatic data extraction tool based on large language model and prompt engineering.

Extracting structured information from documents or scientific papers is crucial for data sharing and retrieval. Recent advances in large language models (LLMs) have demonstrated strong capabilities in language understanding, and a number of LLM-based tools have been developed for extraction-oriented tasks. However, it's still difficult to find a universal and user-friendly tool for various practical extraction tasks. To address this challenge, we propose OmniExtract, an automatic data extraction tool with user-friendly configuration files that can adapt to various data extraction tasks. OmniExtract employs a prompt optimization method to refine task-specific prompts and achieve high extraction performance. It also supports comprehensive data extraction from both documents and tables, making it applicable to a broad range of data sources. Evaluation results show that OmniExtract obtains a high accuracy ~90% for three datasets. Furthermore, two additional data extraction applications of OmniExtract in real-world scenarios have been presented, achieving an accuracy of 92.21% and ~90% precision and recall, respectively. Specifically, OmniExtract can handle tabular files of various sizes and formats, and achieve over 99% precision and recall on table information extraction tasks. The data reliability performance shows that OmniExtract is a valuable tool for database updating. An online testing service is available at https://ngdc.cncb.ac.cn/omniextract/. The service can be deployed locally with the code in https://github.com/wyb39/OmniExtract.

Large Language Models↗
PubMed2026

Searching the druggable genome using large language models.

SUMMARY: The druggable genome encompasses the genes that are known or predicted to interact with drugs. The Drug-Gene Interaction Database (DGIdb) provides an integrated resource for discovering and contextualizing these interactions, supporting a broad range of research and clinical applications. DGIdb is currently accessed through structured web interfaces and API calls, requiring users to translate natural-language questions into database-specific query patterns. To allow for the use of DGIdb through natural language, we developed the DGIdb Model Context Protocol (MCP) server, which allows large language models (LLMs) access to up-to-date information through the DGIdb API. We demonstrate that the MCP server improves an LLM's ability to answer questions requiring accurate, up-to-date biomedical knowledge drawn from structured external resources. AVAILABILITY AND IMPLEMENTATION: The DGIdb MCP server is detailed at https://github.com/dgidb/dgidb-mcp-server and includes instructions for accessing the server through the Claude desktop app.

Large Language Models↗
PubMed2004

Measurements of low-molecular-mass carboxylic acids in atmospheric aerosols by capillary electrophoresis.

Capillary electrophoresis (CE) methods for the determination of low-molecular-mass (LMM) carboxylic acids in airborne particular matter have been developed. The separations of 22 LMM carboxylic acids, including acids derived from the oxidation of biogenic hydrocarbons, are performed using a background electrolyte consisting of 3.0mM 2,6-naphthalenedicarboxylic acid and 18.0mM 2,2-bis (hydroxymethyl)-2,2',2"-nitrilotriethanol (Bis-tris) in 16% (v/v) 1-propanol within 10 min. Using a combination of a buffer mixed with an organic solvent and electroosmotic flow modifier, a minimum of peak overlaps is achieved with migration time variation of less than 1% and peak area ratio (relative to an internal standard) variation of less than 5% within 1 day. The detection limits for the aliphatic LMM acids that can be determined by this method are in the range of 30-140 micro g/L. Furthermore, a simple method for efficient extraction of LMM organic acids from particulate atmospheric matter collected on quartz fiber filters using high-volume samplers is developed. Combining the extraction procedure with a reduction of the extract to approximately 0.2 mL allows for the measurement of LLM in atmospheric particulate organic matter at concentrations well below 1 ng.m(-3). Repeat analysis of filters collected in tunnels, urban, suburban, and forested areas demonstrate that the procedure allows for measurements of aliphatic and aromatic LMM acids within a variability of 10-25%.

Journal Article↗
PubMed2026

Decoding gene regulation in plant genomes with artificial intelligence.

One of the central goals of plant functional genomics is to uncover regulatory mechanisms that shape agriculturally important traits to inform crop improvement. Recent advances in machine learning (ML) and artificial intelligence (AI), especially Large Language Models (LLMs), have greatly transformed our ability to derive regulatory information from complex genomics data. This review starts with a brief introduction of recent advances in AI and ML. We then present a plant-focused synthesis of emerging applications of AI- and LLM tools to: (i) predict epigenomic features, regulatory DNA elements, and gene expressions; (ii) infer gene regulatory network; and (iii) estimate post-transcriptional regulation.

Artificial intelligence↗
PubMed1998

Relationship between ATP synthesis and 201Tl uptake in transformed and non-transformed cell lines.

201Tl tumour imaging is an established procedure, but little is known about its biological significance in transformed and non-transformed cells. In investigating the relationship between 201Tl uptake and intracellular ATP, we wished to determine whether the observed difference in delayed uptake is attributable to re-uptake via Na-K ATPase by using transformed (HeLa) and non-transformed (human fibroblast: hFB) cell lines. In each cell line, ATP was measured using the Luciferin-Luciferase method (LLM). The change in 201Tl uptake was assessed under conditions of mitochondrial suppression. Additionally, we assessed whether glycolysis is involved in 201Tl uptake under conditions of mitochondrial suppression and anaerobic incubation. Re-uptake via Na-K ATPase (HeLa vs hFB: 37.3 vs 24.2%) showed a clear difference in delayed uptake between HeLa and hFB. With HeLa, 201Tl uptake decreased biphasically with a reduction in ATP levels, whereas with hFB a linear correlation was evident. Despite the suppression of mitochondrial potential, a 5% glucose loading accelerated glycolysis with HeLa, and increased ATP (10.0 +/- 4.0%) and 201Tl uptake (16.2 +/- 3.0%). Conversely, neither ATP nor 201Tl uptake increased with hFB. Our results provide evidence that 201Tl uptake in transformed cells is related to enhanced glycolysis as well as mitochondrial ATP synthesis.

2,4-Dinitrophenol↗
PubMed2025

Benchmarking large language models for genomic knowledge with GeneTuring.

Large language models (LLMs) show promise in biomedical research, but their effectiveness for genomic inquiry remains unclear. We developed GeneTuring, a benchmark consisting of 16 genomics tasks with 1,600 curated questions, and manually evaluated 48,000 answers from ten LLM configurations, including GPT-4o (via API, ChatGPT with web access, and a custom GPT setup), GPT-3.5, Claude 3.5, Gemini Advanced, GeneGPT (both slim and full), BioGPT, and BioMedLM. A custom GPT-4o configuration integrated with NCBI APIs, developed in this study as SeqSnap, achieved the best overall performance. GPT-4o with web access and GeneGPT demonstrated complementary strengths. Our findings highlight both the promise and current limitations of LLMs in genomics, and emphasize the value of combining LLMs with domain-specific tools for robust genomic intelligence. GeneTuring offers a key resource for benchmarking and improving LLMs in biomedical research.

Benchmark↗
PubMed2025

Out-of-the-box bioinformatics capabilities of large language models (LLMs).

Large Language Models (LLMs), AI agents and co-scientists promise to accelerate scientific discovery across fields ranging from chemistry to biology. Bioinformatics- the analysis of DNA, RNA and protein sequences plays a crucial role in biological research and is especially amenable to AI-driven automation given its computational nature. Here, we assess the bioinformatics capabilities of three popular general-purpose LLMs on a set of tasks covering basic analytical questions that include code writing and multi-step reasoning in the domain. Utilizing questions from Rosalind, a bioinformatics educational platform, we compare the performance of the LLMs vs. humans on 104 questions undertaken by 110 to 68,760 individuals globally. GPT-3.5 provided correct answers for 59/104 (58%) questions, while Llama-3-70B and GPT-4o answered 49/104 (47%) correctly. GPT-3.5 was the best performing in most categories, followed by Llama-3-70B and then GPT-4o. 71% of the questions were correctly answered by at least one LLM. The best performing categories included DNA analysis, while the worst performing were sequence alignment/comparative genomics and genome assembly. Overall, LLMs performance mirrored that of humans with lower performance in tasks in which humans had low performance and vice versa. However, LLMs also failed in some instances where most humans were correct and, in a few cases, LLMs excelled where most humans failed. To the best of our knowledge, this presents the first assessment of general purpose LLMs on basic bioinformatics tasks in distinct areas relative to the performance of hundreds to thousands of humans. LLMs provide correct answers to several questions that require use of biological knowledge, reasoning, statistical analysis and computer code.

Journal Article↗
PubMed1997

Cloning and characterization of the fmt gene which affects the methicillin resistance level and autolysis in the presence of triton X-100 in methicillin-resistant Staphylococcus aureus.

In methicillin-resistant Staphylococcus aureus (MRSA) strains, Triton X-100 reduced the oxacillin resistance level, although the degree of reduction varied from strain to strain. To study the responses of MRSA strains to Triton X-100, we isolated a Tn551 insertion mutant of the COL strain that became more susceptible to oxacillin in the presence of 0.02% Triton X-100. The Tn551 insertion of the mutant was transduced back to the parent strain, other MRSA strains (strains KSA8 and NCTC 10443), and methicillin-susceptible strain RN450. All transductants of MRSA strains had reduced levels of resistance to oxacillin in the presence of 0.02% Triton X-100, while those of RN450 did not. Tn551 mutants of KSA8 and NCTC 10443 also had reduced levels of resistance in the absence of 0.02% Triton X-100. The autolysis rates of the transductants in the presence of 0.02% Triton X-100 were significantly increased. Amino acid analysis of peptidoglycan and testing of heat-inactivated cells for their susceptibilities to several bacteriolytic enzymes showed that there were no significant differences between the parents and the respective Tn551 mutants. The Tn551 insertion site mapped at a location different from the previously identified fem and llm sites. Cloning and sequencing showed that Tn551 had inserted at the C-terminal region of a novel gene designated fmt. The putative Fmt protein showed a hydropathy pattern similar to that of S. aureus penicillin-binding proteins and contained two of the three conserved motifs shared by penicillin-binding proteins and beta-lactamases, suggesting that fmt may be involved in cell wall synthesis.

Bacteriolysis↗