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

Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.6K
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...
4.6K
Parallel Processing01:20

Parallel Processing

631
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
631
RNA-seq03:21

RNA-seq

11.7K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
11.7K

You might also read

Related Articles

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

Sort by
Same author

Brain shuttle peptides: From permeability assay toolbox to data-driven discovery.

Advances in pharmacology (San Diego, Calif.)·2026
Same author

Secondary Structure Bead-Encoded Amphiphilicity Biases Peptide Self-Assembly Prediction in MARTINI Coarse-Grained Simulations.

ACS applied materials & interfaces·2026
Same author

Understanding Biases in Liquid-Liquid Phase Separation: Investigating Amino Acid Enrichments in Phase-Separating Proteins toward Peptide Design.

Biomacromolecules·2025
Same author

In Vitro and In Vivo Characterization of Novel Cathelicidin-Based Peptides with Antimicrobial Activity Against <i>Pseudomonas aeruginosa</i>.

Antibiotics (Basel, Switzerland)·2025
Same author

Early evolution of mumps-HCV chimeric viruses in Vero cells induces loss of HCV gene expression and promotes accumulation of substitutions uncharacteristic of mumps strains.

Virology·2024
Same author

Determining the esterase activity of peptides and peptide assemblies.

Methods in enzymology·2024

Related Experiment Video

Updated: Jan 14, 2026

A Converging Strategy for the Generation of a Virtually Sequenced cDNA Library from Unreferenced Pacific Oysters
12:14

A Converging Strategy for the Generation of a Virtually Sequenced cDNA Library from Unreferenced Pacific Oysters

Published on: June 13, 2019

5.9K

A multi-library approach to parallelised sequence space exploration: Streamlining library design and search space

Marko Njirjak1, Erik Otović2, Daniela Kalafatovic2

  • 1University of Rijeka, Faculty of Engineering, Vukovarska 58, Rijeka, Croatia.

Computers in Biology and Medicine
|October 17, 2025
PubMed
Summary

This study introduces a novel computational method for simultaneously evolving multiple peptide libraries, enhancing drug discovery. The approach improves library diversity and simplifies post-hit analysis for identifying therapeutic peptides.

Keywords:
Evolutionary computationOptimisationPeptide library

More Related Videos

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
11:36

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing

Published on: July 3, 2016

11.3K
Competitive Genomic Screens of Barcoded Yeast Libraries
11:59

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

18.7K

Related Experiment Videos

Last Updated: Jan 14, 2026

A Converging Strategy for the Generation of a Virtually Sequenced cDNA Library from Unreferenced Pacific Oysters
12:14

A Converging Strategy for the Generation of a Virtually Sequenced cDNA Library from Unreferenced Pacific Oysters

Published on: June 13, 2019

5.9K
A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
11:36

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing

Published on: July 3, 2016

11.3K
Competitive Genomic Screens of Barcoded Yeast Libraries
11:59

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

18.7K

Area of Science:

  • Computational chemistry
  • Drug discovery and development
  • Bioinformatics

Background:

  • Peptide libraries are crucial for identifying novel binders in drug discovery.
  • Library deconvolution is challenging due to the similarity of library constituents.
  • Existing computational methods focus on optimizing single libraries.

Purpose of the Study:

  • To develop a computational method for simultaneously evolving multiple peptide libraries.
  • To enhance library coverage and diversity (intra- and cross-library).
  • To address challenges in library deconvolution for drug discovery.

Main Methods:

  • Implemented a multi-objective optimization algorithm (NSGA-II) to partition and evolve libraries.
  • Utilized a simulated annealing-supported hybrid assessment to manage computational complexity.
  • Incorporated adaptive parameter inference and an early stopping mechanism for efficiency.

Main Results:

  • Successfully optimized peptide libraries with over 9.8x10^6 sequences.
  • Demonstrated effective handling of various problem complexities.
  • Achieved a 22% reduction in execution time due to the early stopping mechanism.

Conclusions:

  • The developed method facilitates the creation of peptide libraries for efficient post-hit deconvolution.
  • This advancement offers a powerful computational tool for discovering novel therapeutic peptides.
  • The approach balances computational cost and optimization effectiveness for diverse library scenarios.