activity
20162025
most citedAn expanded evaluation of protein function prediction methods shows an improvement in accuracy

457 citations · 470 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.BM2025★ 1 cited

Towards a Unified Framework for Determining Conformational Ensembles of Disordered Proteins

Hamidreza Ghafouri, Pavel Kadeřávek, Ana M Melo +23

Disordered proteins play essential roles in myriad cellular processes, yet their structural characterization remains a major challenge due to their dynamic and heterogeneous nature…

q-bio.BM2023

Best practices for the manual curation of Intrinsically Disordered Proteins in DisProt

Federica Quaglia, Anastasia Chasapi, Maria Victoria Nugnes +4

The DisProt database is a significant resource containing manually curated data on experimentally validated intrinsically disordered proteins (IDPs) and regions (IDRs) from the lit…

q-bio.QM2023★ 12 cited

CAFA-evaluator: A Python Tool for Benchmarking Ontological Classification Methods

Damiano Piovesan, Davide Zago, Parnal Joshi +8

We present CAFA-evaluator, a powerful Python program designed to evaluate the performance of prediction methods on targets with hierarchical concept dependencies. It generalizes mu…

q-bio.OT2020

DOME: Recommendations for supervised machine learning validation in biology

Ian Walsh, Dmytro Fishman, Dario Garcia-Gasulla +6

Modern biology frequently relies on machine learning to provide predictions and improve decision processes. There have been recent calls for more scrutiny on machine learning perfo…

q-bio.QM2016★ 457 cited

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Yuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark +144

Background: The increasing volume and variety of genotypic and phenotypic data is a major defining characteristic of modern biomedical sciences. At the same time, the limitations i…