Exploring P450 superfamily diversity with P450Atlas - Online tool for automated subfamily assignment.

IF 4.5 3区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Protein Science Pub Date : 2025-03-01 DOI:10.1002/pro.70057
Dominik Gront, Khajamohiddin Syed, David R Nelson
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引用次数: 0

Abstract

Cytochrome P450 monooxygenases (CYPs/P450s) are heme-containing enzymes known to biology for more than six decades. Their stereo- and regio-specific enzymatic activities on various compounds led to exploring their potential in almost all areas of life. The P450 superfamily, encompassing nearly 10,000 known families, boasts a staggering diversity represented by numerous families, highlighting its immense scale within the realm of enzymes. In this contribution, we describe the P450Atlas website: the ultimate source of information about all named P450 families and subfamilies. The website's main functionality is the automated assignment of a query sequence to one of the known subfamilies. The new subfamily assignment algorithm relies on Hidden Markov Models (HMM) and has been extensively tested and compared to an approach based on the BLAST program. Extensive validation shows that the HMM approach is more sensitive than the latter one, offering almost perfect automated P450 sequence assignment to subfamilies. A user can also browse and search through the online list of families across the Tree of Life. We believe that the P450Atlas website (https://p450atlas.org) will become a comprehensive and unified source of information on cytochrome 450 nomenclature.

使用P450Atlas探索P450超家族多样性-用于自动亚家族分配的在线工具。
细胞色素P450单加氧酶(CYPs/P450)是生物学上已知的含有血红素的酶,已有60多年的历史。它们对各种化合物的立体和区域特异性酶活性导致探索它们在几乎所有生活领域的潜力。P450超家族包含近1万个已知家族,拥有众多家族所代表的惊人多样性,突出了其在酶领域的巨大规模。在这篇文章中,我们描述了P450Atlas网站:关于所有命名的P450家族和亚家族的最终信息来源。该网站的主要功能是将查询序列自动分配到已知的子家族之一。新的子族分配算法依赖于隐马尔可夫模型(HMM),并已经过广泛的测试,并与基于BLAST程序的方法进行了比较。大量的验证表明,HMM方法比后者更敏感,提供了几乎完美的P450序列亚家族自动分配。用户还可以浏览和搜索整个生命之树的在线家庭列表。我们相信P450Atlas网站(https://p450atlas.org)将成为一个全面和统一的细胞色素450命名信息来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Protein Science
Protein Science 生物-生化与分子生物学
CiteScore
12.40
自引率
1.20%
发文量
246
审稿时长
1 months
期刊介绍: Protein Science, the flagship journal of The Protein Society, is a publication that focuses on advancing fundamental knowledge in the field of protein molecules. The journal welcomes original reports and review articles that contribute to our understanding of protein function, structure, folding, design, and evolution. Additionally, Protein Science encourages papers that explore the applications of protein science in various areas such as therapeutics, protein-based biomaterials, bionanotechnology, synthetic biology, and bioelectronics. The journal accepts manuscript submissions in any suitable format for review, with the requirement of converting the manuscript to journal-style format only upon acceptance for publication. Protein Science is indexed and abstracted in numerous databases, including the Agricultural & Environmental Science Database (ProQuest), Biological Science Database (ProQuest), CAS: Chemical Abstracts Service (ACS), Embase (Elsevier), Health & Medical Collection (ProQuest), Health Research Premium Collection (ProQuest), Materials Science & Engineering Database (ProQuest), MEDLINE/PubMed (NLM), Natural Science Collection (ProQuest), and SciTech Premium Collection (ProQuest).
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