Protein Function Prediction

Workshop details

Proteins are the central elements of the cellular machinery, the components responsible for the execution of several cellular functions. Identifying those functions is essential to understand how cells work in a sustainable manner. This workshop will explore the main Bioinformatics resources used to attribute functions to proteins and how this function annotation can be transferred from one protein to another exploring the concepts of similarity and homology.

Learning objectives

  • Understand the descriptors of protein functions;

  • Identify different scenarios of homology among proteins;

  • Predict protein function using different web resources;

  • Explore protein functional databases;

Syllabus

  • Protein function descriptors;

  • Molecular Function;

  • Biological Process;

  • Cellular Component;

  • Homology based annotation transference;

  • Homologues detection;

  • Sequence similarity, homology and functional homology

  • Orthologs vs. Paralogs;

  • Functional consequences of genic duplication

  • Function prediction using protein domains

  • SMART and PFAM Databases;

  • INTERPRO and CDD Databases;

  • Functional motif prediction in protein sequences;

  • Functional motifs databases

Format

  • Zoom live webinar: 1h live webinar with pre-recorded presentation split in two sessions of 30min each with a break of 5min between them. Attendees are welcome to join asynchronous live group discussion (Q&A) with the speaker on Discord during and after the scheduled session.

  • General discussion session: 1h Q&A recurrent pre-dated session booked for attendees of multiple slots of this workshop.

  • Recorded presentation: Attendees registering using a Google e-mail account, will have private access to the recorded webinars.

  • Certificate: all attendees checking-in and out of both 30min sessions will be entitled to receive a certificate of participation (PDF/PNG) that can be shared on your social media with credentials (QR-code) that can be verified on our website, with an option (extra fee) to register as a NFT asset with an unique address on the Ethereum blockchain.

Register using the form below