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Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
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Improving Translational Accuracy02:07

Improving Translational Accuracy

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
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Molecular Models02:00

Molecular Models

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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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Multicompartment Models: Overview01:14

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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
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MMPCS：一貫性と特定情報に基づくマルチビュー分子事前学習

Chenyang Xie1, Yingying Song1, Song He2

  • 1School of Informatics, Xiamen University, Xiamen, 361005, China.

Bioinformatics (Oxford, England)
|January 14, 2026
PubMed
まとめ

一貫性情報と特定情報を分離することにより、分子表現学習を改善する新しいマルチビュー分子事前学習法であるMMPCSを開発しました。このアプローチは、特性予測や薬物再利用を含む創薬タスクのパフォーマンスを向上させます。

キーワード:
分子表現学習マルチビュー学習事前学習化学情報学創薬深層学習

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Cross-Modal Multivariate Pattern Analysis
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科学分野:

  • 化学情報学; 創薬; 機械学習

背景:

  • 分子表現学習は、化学情報学と創薬のための特徴抽出を自動化します。複数の分子データビュー（SMILES、2Dグラフ、3Dコンホメーション）を統合して、優れた表現を得ることは依然として課題です。

研究 の 目的:

  • 新しいマルチビュー分子事前学習法であるMMPCSを提案し、多様な分子データビューを統合する課題に対処します。分子表現を明示的に一貫性とビュー固有の情報に分解し、下流タスクのパフォーマンスを向上させます。

主な方法:

  • 2D分子グラフにはGraph Isomorphism Networkを、SMILESシーケンスにはRoBERTaを使用しました。分子埋め込みを、オートエンコーダーを介して整列された共有の一貫性とビュー固有のコンポーネントに分解しました。タスク認識予測のために、一貫性とビュー固有の表現を組み合わせました。

主要な成果:

  • MMPCSは、分子特性予測（分類および回帰）において、16の最先端手法を上回る平均パフォーマンスを達成しました。薬物標的結合親和性とがん薬物応答の予測において優れた結果を示しました。SARS-CoV-2オミクロン変異株のケーススタディは、薬物再利用の可能性を強調しました。

結論:

  • MMPCSはマルチビュー分子データを効果的に統合し、改善された表現をもたらします。この方法は、創薬および開発において堅牢性と幅広い適用性を示しています。MMPCSは、さまざまな化学情報学アプリケーションにおける正確でタスク認識型の予測を容易にします。