Related Experiment Video

Updated: Mar 14, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

2.7K

End-to-end deep attention-based multitask pipeline for predicting uncertainty-quantified peptide properties from mass

Usman Tariq1, Bilal Shabbir1, Fahad Saeed2,3,4

  • 1Knight Foundation School of Computing and Information Sciences, Florida International University (FIU), Miami, FL, USA.

Scientific Reports
|March 13, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
BioinformaticsDeep learningMass spectrometryUncertainty

More Related Videos

Detection of Protein Ubiquitination Sites by Peptide Enrichment and Mass Spectrometry
11:54

Detection of Protein Ubiquitination Sites by Peptide Enrichment and Mass Spectrometry

Published on: March 23, 2020

10.5K
Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

12.8K

Related Experiment Videos

Last Updated: Mar 14, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

2.7K
Detection of Protein Ubiquitination Sites by Peptide Enrichment and Mass Spectrometry
11:54

Detection of Protein Ubiquitination Sites by Peptide Enrichment and Mass Spectrometry

Published on: March 23, 2020

10.5K
Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

12.8K

Related Concept Videos

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

8.8K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
8.8K

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

Systematic review of trends in deep learning for UAV cybersecurity.

Frontiers in artificial intelligence·2026

Habenula Alterations in Resting-State Functional Connectivity Among Autistic Individuals.

Biological psychiatry. Cognitive neuroscience and neuroimaging·2026

Predicting progression of Alzheimer's disease using blood-based multi-omics data.

Bioinformatics advances·2026

ASN Kidney Health Guidance on Conservative Management in People with Kidney Failure.

Journal of the American Society of Nephrology : JASN·2026

Executive Summary of ASN Kidney Health Guidance on Conservative Management in People with Kidney Failure.

Journal of the American Society of Nephrology : JASN·2026

MolDeBERTa: Foundational Model for Physicochemical and Structural-Informed Molecular Representation Learning.

bioRxiv : the preprint server for biology·2026

Draft genome sequences of three Bacillus spp. from the University of the Philippines Culture Collection.

Microbiology resource announcements·2026

DeepPNI: a language- and graph-based model for mutation-driven protein-nucleic acid binding energetics.

Nucleic acids research·2026

Computational navigation of constrained multidimensional protein fitness landscapes.

FEBS letters·2026

EINN: An enzyme-informed neural network guided by an enzyme-constrained genome-scale metabolic model.

Synthetic and systems biotechnology·2026

CLASPP: A unified model for predicting post-translational modifications.

PLoS computational biology·2026

Exploration of the Optimal Model for Raman Spectral Characterization of Bituminous Coal Structure: Based on Multipeak Function Optimization and Statistical Information Validation.

ACS omega·2026
See all related articles
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
Jove
Visualize
Contact Us