Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Systematic Sampling Method

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...

Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

You might also read

Related Articles

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

Sort by

Same author

Mammalian fatty acid synthase and <i>O</i>-GlcNAc transferase preferentially interact <i>via</i> their respective <i>N</i>-terminal regions.

Biochemistry and biophysics reports·2026

Same author

Navigating the Pre- and Post-AlphaFold Divide: CAPRI 8th Evaluation Meeting, February 12-14, Grenoble, FR.

Proteins·2025

Same author

Protein Involved in Initiation 1 Interaction With Starch Synthase 4 From Arabidopsis thaliana Induces Inhibition of Elongating Activity.

Proteins·2025

Same author

Quantifying water hydrogen bonding from the surface electrostatic potential at varying iso-density contours.

The Journal of chemical physics·2025

Same author

Updates to the CASP Infrastructure in 2024.

Proteins·2025

Same author

Biomolecular Interaction Prediction in the Pre- and Post-AlphaFold Era: The 8th CAPRI Evaluation.

Proteins·2025

Same journal

Engineered HSP90-MP65 Bivalent Fusion Antigen: A Novel Vaccine Candidate Against Invasive Candidiasis.

Proteins·2026

Same journal

Physics-Based Energy Functions for Computational Protein Design.

Proteins·2026

Same journal

Impact of Stabilizing Osmolytes on the Conformational Dynamics of Human and Rat Islet Amyloid Polypeptides.

Proteins·2026

Same journal

Stabilization of Bone Morphogenetic Protein-2 at Physiological pH: Contrasting Roles of CHAPS and Arginine in Aggregation Inhibition.

Proteins·2026

Same journal

Structural Insights Into the Function of Leishmania major Adenylosuccinate Lyase.

Proteins·2026

Same journal

Generalizing the Gaussian Network Model: Spanning-Tree Thermodynamics Shows Entropy-Driven KRAS Activation.

Proteins·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 9, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

MassiveFold Data for CASP16-CAPRI: A Systematic Massive Sampling Experiment.

Nessim Raouraoua¹, Marc F Lensink¹, Guillaume Brysbaert¹

¹Univ. Lille, CNRS UMR 8576-UGSF-Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France.

|August 28, 2025

Summary

This summary is machine-generated.

Massive sampling with AlphaFold2 aids protein structure prediction. A new dataset and strategy optimize this approach, reducing computation while maintaining accuracy for challenging protein targets.

Keywords:

AlphaFold CAPRI CASP MassiveFold protein structure prediction structural bioinformatics

More Related Videos

Automated Sample Multiplexing by using Combined Precursor Isotopic Labeling and Isobaric Tagging cPILOT

Automated Sample Multiplexing by using Combined Precursor Isotopic Labeling and Isobaric Tagging cPILOT

Published on: December 18, 2020

Capture Compound Mass Spectrometry - A Powerful Tool to Identify Novel c-di-GMP Effector Proteins

Capture Compound Mass Spectrometry - A Powerful Tool to Identify Novel c-di-GMP Effector Proteins

Published on: March 29, 2015

Related Experiment Videos

Last Updated: Sep 9, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

Automated Sample Multiplexing by using Combined Precursor Isotopic Labeling and Isobaric Tagging cPILOT

Automated Sample Multiplexing by using Combined Precursor Isotopic Labeling and Isobaric Tagging cPILOT

Published on: December 18, 2020

Capture Compound Mass Spectrometry - A Powerful Tool to Identify Novel c-di-GMP Effector Proteins

Capture Compound Mass Spectrometry - A Powerful Tool to Identify Novel c-di-GMP Effector Proteins

Published on: March 29, 2015

Area of Science:

Computational biology
Structural biology
Bioinformatics

Background:

Massive sampling using AlphaFold2 is a key method for protein structure prediction.
Existing methods often involve redundant computations and high resource demands.

Purpose of the Study:

To introduce the MassiveFold CASP16-CAPRI dataset for large-scale protein structure sampling.
To develop a strategy for optimizing massive sampling based on interface difficulty and prediction scores.
To provide a valuable resource for the protein structure prediction community.

Main Methods:

Systematic, large-scale sampling of monomeric and multimeric protein targets using AlphaFold2.
Development of an interface-difficulty classification using DockQ metrics.
Analysis of prediction gains from massive sampling on different interface types.
Validation of predicting interface difficulty from median ipTM scores.

Main Results:

Massive sampling provides significant gains, especially for challenging protein interfaces.
Interface difficulty can be predicted from standard AlphaFold2 runs, allowing targeted massive sampling.
Reducing the number of predictions from 8040 to 2475 maintains high accuracy while cutting computational costs.
The study highlights the ongoing need for improved model selection methods from large datasets.

Conclusions:

Targeted massive sampling strategies can significantly reduce computational resources for protein structure prediction.
The MassiveFold dataset and associated metrics offer a valuable resource for advancing the field.
Further development of scoring and selection methods is crucial for maximizing the benefits of massive sampling.