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相关概念视频

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.8K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Structural Classification of Joints01:20

Structural Classification of Joints

3.2K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
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Structural Protein Function01:56

Structural Protein Function

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Structural proteins are a category of proteins responsible for functions ranging from cell shape and movement to providing support to major structures such as bones, cartilage, hair, and muscles. This group includes proteins such as collagen, actin, myosin, and keratin.
Collagen, the most abundant protein in mammals, is found throughout the body. In connective tissue, such as skin, ligaments, and tendons, it provides tensile strength and elasticity.  In bones and teeth, it mineralizes to...
27.4K
Functional Classification of Joints01:09

Functional Classification of Joints

3.8K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
3.8K
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

8.2K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
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Predicting Products: Substitution vs. Elimination02:52

Predicting Products: Substitution vs. Elimination

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When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
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相关实验视频

Updated: Jun 4, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

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改进了使用对比学习与结构推理进行的酶功能注释预测.

Yuxin Yang1,2,3, Abby Jerger4, Song Feng5

  • 1Cleveland Clinic Genome Center, Lerner Research Institute, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH, 44195, USA.

Communications biology
|December 23, 2024
PubMed
概括
此摘要是机器生成的。

这项研究介绍了CLEAN-Contact,这是一种新的深度学习方法,通过整合氨基酸序列和蛋白质结构来预测酶功能的功能. 与现有方法相比,这种方法显著提高了预测准确度.

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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
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相关实验视频

Last Updated: Jun 4, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
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Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

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科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 深度学习应用程序

背景情况:

  • 深度学习已经推进了科学研究,在预测酶功能方面有着重要的应用.
  • 目前用于酶功能预测的计算方法通常依赖于氨基酸序列或蛋白质结构.
  • 需要整合不同的数据模式,以便更准确地预测酶功能.

研究的目的:

  • 开发一种新的深度学习框架,将氨基酸序列和蛋白质接触地图数据结合起来,用于酶功能预测.
  • 为了解决专注于单个数据类型的现有方法的局限性.

主要方法:

  • 提出了一个对比学习框架,用于用蛋白质氨基酸序列和接触地图 (CLEAN-Contact) 结合酶功能ANnotation预测.
  • 评估CLEAN-Contact与使用多个基准数据集的最先进的酶功能预测模型进行了对比.
  • 应用框架来预测Prochlorococcus marinus MED4蛋白质组中的新型酶功能.

主要成果:

  • 与现有的最先进的酶功能预测模型相比,CLEAN-Contact表现出更高的性能.
  • 该框架成功预测了以前未知的酶功能.
  • 序列和联系地图数据的整合显著提高了预测准确性.

结论:

  • 在CLEAN-Contact框架代表了在酶功能预测准确度的重大进步.
  • 结合多种数据模式,如氨基酸序列和接触地图,对于强大的酶功能预测至关重要.
  • 这种方法有望在未表征的蛋白质组中发现新的酶功能.