BoKDiff: best-of-K diffusion alignment for target-specific 3D molecule generation

Authors

Mehdi Yazdani-Jahromi (ORCID: https://orcid.org/0000-0001-6658-6591)
Özlem Özmen Garibay (ORCID: https://orcid.org/0000-0001-9215-694X)
Ali Khodabandeh Yalabadi (ORCID: https://orcid.org/0009-0009-4310-0259)

Institutions

University of Central Florida (US)

Publication Details

Journal: Bioinformatics Advances
Published: 2024-12-26
DOI: https://doi.org/10.1093/bioadv/vbaf137
Citations: 1
Primary Topic: Computational Drug Discovery Methods
Type: article
Field-Weighted Citation Impact: 0.36

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article

BoKDiff: best-of-K diffusion alignment for target-specific 3D molecule generation

Mehdi Yazdani-Jahromi, Özlem Özmen Garibay, Ali Khodabandeh Yalabadi

Dec 26, 2024

1 citations

Bioinformatics Advances

Computational Drug Discovery Methods

0.36

article

BoKDiff: best-of-K diffusion alignment for target-specific 3D molecule generation

Mehdi Yazdani-Jahromi, Özlem Özmen Garibay, Ali Khodabandeh Yalabadi

December 26, 2024article en

1 citations

Abstract

No abstract available for this paper.

Bioinformatics AdvancesVol. 5(1)

University of Central Florida (US)

Openalex Percentile: Top 32%

Computational Drug Discovery Methods

0.36

DOI Open Access PDF OpenAlex

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BoKDiff: best-of-K diffusion alignment for target-specific 3D molecule generation — Mehdi Yazdani-Jahromi, Özlem Özmen Garibay, et al. · Bioinformatics Advances (2024) | TGRS Research Map | TGRS