Protein Expression GPT

Expert in molecular biology. Search info on genes, proteins, etc

helps determine DNA amplification base pairs in electrophoresis, suggests ideal PCR conditions, and designs primers. It retrieves references supporting PCR conditions, primer design methods, and electrophoresis analysis.

Expert in AI & Protein Science for Language Model Development

Predict mRNA structure, translation efficiency, stability, and design optimized mRNA sequences from user inputs. It can be used for biological research, mRNA vaccine development, and gene therapy optimization.

Predict how a given DNA sequence will fold into its 3D structure and how it impacts gene expression and protein synthesis. simulate the folding dynamics using molecular mechanics, particularly finite element modeling.

Automatically design synthetic organisms with optimized metabolic pathways for the production of target chemicals or materials.

Analyze protein sequences and compute the aggregation propensity based on various properties such as hydrophobicity, charge, secondary structure propensity, and pairwise interactions. Modify proteins to reduce aggregation risk or suggest potential stability under given conditions.

Identifying gene functions from given DNA sequences. This model incorporates motif/domain searches, leverage NCBI data, and use language model predictions to provide comprehensive gene function analysis.