The main goal is to develop genes/proteins connection models able to explain complex biological phenomena in terms of emerging properties of large, structured ...

The main goal is to develop genes/proteins connection models able to explain complex biological phenomena in terms of emerging properties of large, structured ...

Protein-centered biological networks by automatic caption analysis ... In former years, a lot of attention has been paid to the retrieval of meaningful biological ...

We thus developed Protein Quest, a tool which automatically and efficiently parse both the abstract and the captions of scientific paper in a pdf document.

Research paper thumbnail of Protein-centered biological networks by automatic caption analysis · Protein-centered biological networks by automatic caption ...

https://dblp.org/rec/conf/pkdd/Bucci10 · Enrico M. Bucci: Protein-Centered Biological Networks by Automatic Caption Analysis. view. electronic edition @ ceur ...

Jun 21, 2023 · Many biological circuits comprise sets of protein variants that interact with one another in a many-to-many, or promiscuous, fashion.

Aug 21, 2024 · This important study develops a machine learning method to reveal hidden unknown functions and behaviors in gene regulatory networks by searching parameter ...

Oct 13, 2022 · Sequences of 414 hypothetical proteins were evaluated and we were able to successfully attribute a function to 37 hypothetical proteins.

Mar 9, 2020 · The tool allows researchers to visualize human protein-protein interaction data constrained by protein subcellular localizations.