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researcher

Vı́ctor Guallar

1 paper here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • q-bio.BM1
ORCID 0000-0002-4580-1114

identity via Semantic Scholar / OpenAlex

most citedOptimizing Drug Design by Merging Generative AI With Active Learning Frameworks

9 citations · 9 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2024★ 1 cited

Scoreformer: A Surrogate Model For Large-Scale Prediction of Docking Scores

Álvaro Ciudad, Adrián Morales-Pastor, Laura Malo +3

In this study, we present ScoreFormer, a novel graph transformer model designed to accurately predict molecular docking scores, thereby optimizing high-throughput virtual screening…

q-bio.BM2023★ 9 cited

Optimizing Drug Design by Merging Generative AI With Active Learning Frameworks

Isaac Filella-Merce, Alexis Molina, Marek Orzechowski +7

Traditional drug discovery programs are being transformed by the advent of machine learning methods. Among these, Generative AI methods (GM) have gained attention due to their abil…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.