MULAN: multimodal protein language model for sequence and structure encoding

Authors

Institutions

Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf117
Citations
2
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.47
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MULAN: multimodal protein language model for sequence and structure encoding

Anna Litvin, Ivan Oseledets, Daria Frolova, Marina A. Pak et al.
2 citations
Bioinformatics Advances
Machine Learning in Bioinformatics
0.47
article

MULAN: multimodal protein language model for sequence and structure encoding

Anna Litvin, Ivan Oseledets, Daria Frolova, Marina A. Pak, Dmitry N. Ivankov, Ilya Sharov
article en
2 citations

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
Skolkovo Institute of Science and Technology (RU), Lomonosov Moscow State University (RU), United States Air Force (US), Ligand Pharmaceuticals (United Kingdom) (GB), Ligand Pharmaceuticals (United States) (US), Moscow State University (TJ)
Openalex Percentile: Top 33%
Machine Learning in Bioinformatics
0.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.