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最新の出版物とバイオインフォマティクスに関する特許

Bioinformatics Publications Patents

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バイオインフォマティクス
バイオインフォマティクスは、計算手法と統計的手法を組み合わせて複雑な生物学的データを分析し、分子機能や疾患メカニズムに関する知見を得る学問である。

バイオインフォマティクスは、計算手法と統計的手法を統合し、生物学的データ、特に大規模なゲノム、トランスクリプトーム、プロテオーム、メタボロームデータセットを分析・解釈します。この分野では、配列アライメント、ゲノムアセンブリ、遺伝子発現プロファイリング、タンパク質構造予測、分子間相互作用ネットワークなどを扱い、分子機能、進化関係、疾患メカニズムに関する知見を深めます。アルゴリズム開発、機械学習アプリケーション、ハイスループットデータ処理の進歩により、包括的なアノテーション、バリアント解釈、システムレベルのモデリングが可能になります。本コレクションは、生物学研究と精密医療の発展に不可欠な計算ツール、データベース管理、分析パイプライン、統合的アプローチに焦点を当てた最新の科学論文と特許取得済みのイノベーションをまとめたものです。

これは、バイオインフォマティクスに関する英語の世界中の出版物と特許の最新のセレクションです。多数の科学オンラインジャーナルの中から、ゲノム配列、配列アライメント、タンパク質構造予測、系統発生、遺伝子発現、次世代シーケンシング、バイオインフォマティクス、計算ゲノム、トランスクリプトーム、メタゲノム、プロテオミクスデータ解析、分子ドッキング、生物学的データベース、構造バイオインフォマティクス、ゲノムアノテーション、バリアントコール、エピゲノム、システム生物学、比較ゲノム、機能ゲノム、RNA-Seq解析、生物統計学、計算生物学、バイオマーカー発見、パスウェイ解析、メタボロミクスに分類され、焦点を絞っています。

Galnac oligonucleotide conjugate for inhibiting c5 gene expression

Patent published on the 2026-05-28 in WO under Ref WO2026108942 by CSPC ZHONGQI PHARMACEUTICAL TECH SHIJIAZHUANG CO LTD [CN] (Zhang Xueyan [cn], Wang Lingyu [cn], Su Xiaoye [cn], Zhao Chenglong [cn])

Abstract: Provided are an oligonucleotide conjugate comprising a GalNAc derivative, a pharmaceutical composition comprising the oligonucleotide conjugate, and use of the oligonucleotide conjugate or the pharmaceutical composition.[...]


Our summary: The content discusses a GalNAc oligonucleotide conjugate designed to inhibit C5 gene expression. It includes details about the conjugate, its pharmaceutical composition, and its applications. The focus is on the development and use of this therapeutic approach.

GalNAc, oligonucleotide, gene expression, pharmaceutical composition

Patent

Products and methods for full-length smchd1 expression using split inteins

Patent published on the 2026-05-21 in WO under Ref WO2026107323 by RESEARCH INST AT NATIONWIDE CHILDRENS HOSPITAL [US] (Harper Scott Q [us], Thangaraj Merlin Premalatha [us])

Abstract: Nucleic acids, vectors, compositions, systems, and methods for expressing a structural maintenance of chromosomes hinge domain containing 1 (SMCHD1) polypeptide to epigenetically silence double homeobox 4 (DUX4) for the treatment of a disease or disorder associated with DUX4 are provided. DUX4 regulates gene expression and plays a role in development, muscular dystrophy (including, but not limited to, facioscapulohumeral dystrophy (FSHD)), a cancer, or Bosma arhinia microphthalmia syndrome (BAMS[...]


Our summary: This content discusses products and methods for expressing the SMCHD1 polypeptide using split inteins. It highlights the role of DUX4 in diseases like muscular dystrophy and cancer. The approach aims to downregulate DUX4 expression for therapeutic purposes.

SMCHD1, split inteins, gene expression, DUX4

Patent

Gene expression elements and systems and use thereof

Patent published on the 2026-05-14 in AU under Ref AU2026202953 by GENENEER LTD (Shefer Kinneret)

Abstract: Abstract The present invention relates to an expression control element and expression system comprising same, particularly to an expression control element regulated by a polyamine or polyamine analogue, host cells and eukaryotic organisms comprising same and methods of use thereof. Abstract same and methods of use thereof. pr p r s a m e a n d m e t h o d s o f u s e t h e r e o f[...]


Our summary: The invention involves an expression control element regulated by polyamines. It includes an expression system and host cells utilizing this element. Methods for using these systems in eukaryotic organisms are also described.

gene expression, expression control element, polyamine regulation, eukaryotic systems

Patent

Photomics analysis of samples

Patent published on the 2026-05-14 in AU under Ref AU2024378765 by ALTOS LABS INC (Angeles Albores David, Arbelo-gonzalez Wilmer, Pedoia Valentina, Riehs Nina)

Abstract: The present invention sets for a technique for determining a transcriptomic profile of a sample comprising one or more cells. The disclosed techniques include obtaining one or more single cell images of the sample. The techniques also include predicting a transcriptomic profile for one or more cells of the sample using a machine learning model configured to take as input one or more single cell images and produce as output a predicted transcriptomic profile for the one or more cells in the singl[...]


Our summary: The invention describes a method for determining the transcriptomic profile of a sample using single cell images. It employs a machine learning model to predict transcriptomic profiles based on these images. The approach yields both measured and predicted expression levels for various transcripts.

Transcriptomics, Photomics, Machine Learning, Single Cell

Patent

Automated multi-omics assay development system for high-throughput proteomic and metabolomic quantification

Patent published on the 2026-05-07 in US under Ref US20260128132 by COMPLETE OMICS INT INC [US] (Wang Qing [us], Chaerkady Raghothama [us], Kashyap Anirudh [us], Fair Morgan [us], Zhao Liang [us])

Abstract: Disclosed are systems and methods for automated chromatographic peak detection and refinement in high-throughput LC-MS/MS datasets, applicable to both proteomics and metabolomics. The invention integrates signal smoothing, apex detection, boundary assignment, and machine learning-based quality scoring into a fully automated pipeline. The system supports multiple acquisition modes (e.g., DIA-PASEF, Orbitrap), chromatographic strategies (C18, C30, HILIC), and biological matrices. Detected peaks ar[...]


Our summary: The system automates multi-omics assay development for proteomic and metabolomic quantification. It integrates peak detection, refinement, and quality scoring using machine learning. The invention enhances reproducibility and reduces manual curation time in high-throughput datasets.

multi-omics, high-throughput, LC-MS/MS, machine learning

Patent

Plants having improved traits

Patent published on the 2026-05-06 in GB under Ref GB2701582 by WILD BIOSCIENCE LTD [GB] (Ross Hendron [gb], Rona Costello [gb], Steven Kelly [gb])

Abstract: A method for generating a plant having improved growth and/or yield. The method comprises increasing the size of one or more guard cells in a plant compared to a guard cell size in an independent wildtype control plant of the same species under the same environmental conditions, wherein the ratio of guard cell size to leaf epidermal cell size in the plant is increased as compared to the ratio in the control plant. The guard cell can have increased cell volume, increased nuclear cell content, inc[...]


Our summary: The method generates plants with improved growth and yield by increasing guard cell size. This involves modifying the expression of factors that promote endoreduplication in guard cells. A gene construct is also described, which includes a regulatory element for guard cell-specific expression.

Guard cells, Endoreduplication, Gene expression, Plant traits

Patent

ReaxFF molecular dynamics investigation of co-combustion between Zhundong coal and lignin

Published on 2026-02-25 by @OXFORD

Abstract: AbstractCo-combustion of coal and biomass offers a promising solution to reduce fossil fuel dependency. This study employs reactive force-field molecular dynamics (ReaxFF MD) to investigate the microscopic effects of temperature and mixing ratio on Zhundong coal–lignin co-combustion. Elevated temperatures significantly enhance the conversion from large molecules to smaller gaseous products (CO2, H2O), suppressing tar formation. Higher coal ratios (3:1, 2:1) favor reduced tar yield and increase[...]


Our summary: This study uses ReaxFF molecular dynamics to analyze the co-combustion of Zhundong coal and lignin. Elevated temperatures and higher coal ratios improve gaseous product yields while reducing tar formation. Reaction pathways indicate distinct contributions from coal oxidation, lignin pyrolysis, and the behavior of nitrogen and sulfur during combustion.

ReaxFF, molecular dynamics, co-combustion, Zhundong coal

Publication

A Comparative Study of CNN, BiLSTM, and GRU Architectures

Published on 2026-02-03 by Elias Tabane, Ernest Mnkandla, Zenghui Wang @MDPI

Abstract: DNA sequence classification is a fundamental problem in bioinformatics, playing an indispensable role in gene annotation and disease prediction. Whereas most deep learning models, such as CNNs, BiLSTM networks, and GRUs, have been found individually optimal, each of these methods excels in modeling a specific aspect of sequence data: local motifs, long-range dependencies, and efficient temporal modeling of the sequences. Here, we present and evaluate an ensemble model that integrates CNN, BiLSTM[...]


Our summary: This study evaluates CNN, BiLSTM, and GRU architectures for DNA sequence classification. An ensemble model combining these methods achieved a classification accuracy of 90.6%, outperforming individual models. The research highlights the effectiveness of hybrid deep learning in genomic data analysis.

CNN, BiLSTM, GRU, ensemble

Publication

取り上げるトピック: バイオインフォマティクス、計算技術、統計技術、生物学的データ、ゲノムデータセット、トランスクリプトームデータセット、プロテオームデータセット、メタボロームデータセット、配列アライメント、ゲノムアセンブリ、遺伝子発現プロファイリング、タンパク質構造予測、分子相互作用ネットワーク、機械学習、ハイスループットデータ処理、バリアント解釈、システムレベルモデリング、精密医療、ISO/IEC 27001、ISO 9001、ISO/IEC 25010、ISO 31000、およびISO 13485。

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2013-09-24

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