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Philipp Seidl — most-cited papers & profile · AI for Science
← authors
·
overview
Philipp Seidl
8
papers ·
74
citations ·
10
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
2023 · 30 citations
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks
2020 · 13 citations
Context-enriched molecule representations improve few-shot drug discovery
2023 · 12 citations
Re-evaluating Retrosynthesis Algorithms with Syntheseus
2023 · 8 citations
Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
2024 · 7 citations
Modern Hopfield Networks for Few- and Zero-Shot Reaction Template Prediction
2021 · 3 citations
MolecularIQ: Characterizing Chemical Reasoning Capabilities Through Symbolic Verification on Molecular Graphs
2026 · 1 citations
Top co-authors
G\"unter Klambauer
· 5
Sepp Hochreiter
· 5
Johannes Schimunek
· 4
Andreu Vall
· 2
Marwin Segler
· 2
Philipp Renz
· 2
Sohvi Luukkonen
· 2
and G\"unter Klambauer
· 1
Andreas Mayr
· 1
Andreas Mayr
· 1
Austin Tripp
· 1
Christoph Bartmann
· 1
Topics
Chemistry
Drug Discovery
Materials
Medical AI
Genomics
Protein Science