Skip To Main Content
Petety Balaji on Muck Rack

Petety Balaji

As seen in: BioRxiv
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Petety

Contact Petety, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Identifying key amino acid types that distinguish paralogous proteins using Shapley value based feature subset selection

|
By Pranav Machingal, Rakesh Busi, Nandyala Hemachandra, Petety Balaji
| BioRxiv
Abstract We view a protein as the composite of the standard 20 amino acids, ignoring their order in the protein sequence. With this view, we try to identify the important amino acid types that distinguish pairs of paralogous proteins, thereby playing a role in their functional difference. Using only the amino acid composition (AAC) as features and a linear classifier, we find that many pairs of paralogous protein families can be classified accurately.
Open in Who Shared Issue with article?

Identifying key amino acid types that distinguish paralogous proteins using Shapley value based feature subset selection

|
By Pranav Machingal, Rakesh Busi, Nandyala Hemachandra, Petety Balaji
| BioRxiv
Abstract We view a protein as the composite of the standard 20 amino acids (ignoring their order in the protein sequence) and try to identify a set of important amino acid types whose composition is enough to distinguish two paralogous proteins. For this, we use a linear classifier with amino acid composition as features, and a Shapley value based feature subset selection algorithm. We demonstrate our method using 15 datasets of pairs of paralogous proteins.
Open in Who Shared Issue with article?

Identifying key amino acid types that distinguish paralogous proteins using Shapley value based feature subset selection

|
By Nandyala Hemachandra, Pranav Machingal, Rakesh Busi, Petety Balaji
| BioRxiv
Abstract We view a protein as the composite of the standard 20 amino acids (ignoring their order in the protein sequence) and try to identify a set of important amino acid types whose composition is enough to distinguish two paralogous proteins. For this, we use a linear classifier with amino acid composition as features, and a Shapley value based feature subset selection algorithm. We demonstrate our method using 15 datasets of pairs of paralogous proteins.
Open in Who Shared Issue with article?
See all 3 articles