%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Gpn Msa Sapiens
G
Gpn Msa Sapiens
Developed by songlab
GPN-MSA is a language model trained on human and 89 other vertebrate species, specializing in DNA sequence analysis and variant effect prediction.
Downloads 446
Release Time : 8/14/2023
Model Overview
This model utilizes multiple sequence alignment (MSA) techniques, trained on genomic data from humans and 89 other vertebrate species, to predict the functional impact of DNA sequence variants, providing a powerful tool for genomics research.
Model Features
Multi-species training
Incorporates genomic data from humans and 89 other vertebrate species, enhancing the model's generalization capability
Evolutionary conservation analysis
Evaluates DNA sequence evolutionary conservation using the phastCons scoring system
Variant effect prediction
Accurately predicts the functional impact of DNA sequence variants
Model Capabilities
DNA sequence analysis
Variant effect prediction
Evolutionary conservation evaluation
Genome functional annotation
Use Cases
Genomics research
Pathogenic mutation prediction
Identifies DNA sequence variants that may cause disease
Helps researchers prioritize the study of potential pathogenic mutations
Functional element identification
Identifies functionally important regions in the genome
Aids in understanding gene regulatory mechanisms
Precision medicine
Personalized medical analysis
Analyzes the impact of individual genomic variants on drug response
Provides a basis for personalized treatment plans
Featured Recommended AI Models
Š 2025AIbase