Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Amino acids03:42

Amino acids

89.4K
Amino acids are the monomers that comprise proteins. Each amino acid has the same fundamental structure, which consists of a central carbon atom, or the alpha (α) carbon, bonded to an amino group (NH2), a carboxyl group (COOH), and to a hydrogen atom. Every amino acid also has another atom or group of atoms bonded to the central atom known as the R group. There are 20 common amino acids present in proteins, each with a different R group. Variation in the amino acid sequence is responsible...
89.4K
Leaky Scanning02:28

Leaky Scanning

5.2K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.2K
Protein Organization01:13

Protein Organization

138.8K
Overview
138.8K
tRNA Activation02:26

tRNA Activation

19.5K
Aminoacyl-tRNA synthetases are present in both eukaryotes and bacteria. Though eukaryotes have 20 different aminoacyl-tRNA synthetases to couple to 20 amino acids, many bacteria do not have genes for all of these aminoacyl-tRNA synthetases. Despite this, they still use all 20 amino acids to synthesize their proteins. For instance, some bacteria do not have the gene encoding the enzyme that couples glutamine with its partner tRNA. In these organisms, one enzyme adds glutamic acid to all of the...
19.5K
From DNA to Protein03:06

From DNA to Protein

18.6K
The flow of genetic information in cells from DNA to mRNA to protein is described by the central dogma, which states that genes specify the sequence of mRNAs, which in turn specify the sequence of amino acids making up all proteins. The decoding of one molecule to another is performed by specific proteins and RNAs. Because the information stored in DNA is so central to cellular function, it makes intuitive sense that the cell would make mRNA copies of this information for protein synthesis...
18.6K
What are Proteins?01:28

What are Proteins?

14.8K
Proteins are polymers of amino acids linked together by peptide bonds. Proteins and polypeptides are interchangeably used to refer to long chains of amino acids. However, polypeptides have a molecular weight of fewer than 10,000 daltons, while proteins have greater molecular weight.  Polypeptides with less than 20 amino acids are called oligopeptides or simply peptides. Interactions among the constituent amino acid side chains of proteins help them fold into a stable 3-dimensional...
14.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Efficacy and safety evaluation of artificial intelligence-identified antimicrobial peptides targeting avian pathogenic Escherichia coli in broiler chickens.

Journal of animal science and biotechnology·2026
Same author

AIEdit: Alignment-free genome assembly polisher trained on spaced seed match patterns.

PLoS computational biology·2026
Same author

ntStat: k-mer characterization using occurrence statistics in raw sequencing data.

PLoS computational biology·2026
Same author

AMPSeek: A Workflow for Predicting Antimicrobial Peptide Activity, Three-Dimensional Structure, and Toxicity.

Current protocols·2026
Same author

A comprehensive tandem repeat catalog of the human genome.

Nature communications·2026
Same author

ntSynt: multi-genome synteny detection using minimizer graph mappings.

BMC biology·2025
Same journal

Layered social competition coordinates reproductive hierarchy formation in ants.

bioRxiv : the preprint server for biology·2026
Same journal

Combination epigenetic-targeted therapy increases the immunogenicity of poorly immunogenic sarcomas.

bioRxiv : the preprint server for biology·2026
Same journal

Loss of LanC-like proteins delays post-injury regeneration of aging skeletal muscles.

bioRxiv : the preprint server for biology·2026
Same journal

Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets.

bioRxiv : the preprint server for biology·2026
Same journal

Confidence-supported label-free metabolic imaging with FPhaS phase autofluorescence microscopy.

bioRxiv : the preprint server for biology·2026
Same journal

Sequence-encoded autoinhibition couples mRNA decapping activity to phase separation.

bioRxiv : the preprint server for biology·2026
See all related articles

Related Experiment Video

Updated: Jul 29, 2025

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.5K

aaHash: recursive amino acid sequence hashing.

Johnathan Wong1, Parham Kazemi1, Lauren Coombe1

  • 1Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada.

Biorxiv : the Preprint Server for Biology
|May 22, 2023
PubMed
Summary
This summary is machine-generated.

aaHash is a new hashing algorithm for amino acid sequences. It is ~10X faster than generic methods, improving bioinformatics applications for protein sequences.

More Related Videos

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
08:21

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids

Published on: April 13, 2022

2.7K
Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
09:34

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly

Published on: February 6, 2020

7.3K

Related Experiment Videos

Last Updated: Jul 29, 2025

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.5K
Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
08:21

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids

Published on: April 13, 2022

2.7K
Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
09:34

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly

Published on: February 6, 2020

7.3K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Biochemistry

Background:

  • Generic string hashing algorithms are not optimized for bioinformatics, particularly for complex amino acid sequences.
  • Existing methods fail to capture the biochemical similarities and context inherent in protein sequences.
  • There is a need for domain-specific hashing algorithms to enhance bioinformatics tools for protein analysis.

Approach:

  • We developed aaHash, a recursive hashing algorithm specifically designed for amino acid sequences.
  • aaHash employs multiple hash levels to encode biochemical similarities between amino acids.
  • This approach allows for more sensitive and efficient representation of protein sequence data.

Key Points:

  • aaHash significantly accelerates the hashing of adjacent k-mers, achieving approximately 10X speed improvement over generic algorithms.
  • The algorithm's multi-level hashing effectively represents biochemical properties of amino acids.
  • This specialized hashing enhances the performance of bioinformatics applications dealing with protein sequences.

Conclusions:

  • aaHash offers a substantial performance improvement for k-mer hashing in protein sequence analysis.
  • The algorithm's ability to represent biochemical similarities enhances sensitivity in bioinformatics tasks.
  • aaHash provides a valuable tool for accelerating and improving protein sequence-based research.