• Ms. Baddala Vijayanirmala
• Spoorthi S Padukone
• Sinchana B L
• Swetha V
• Swathi V

The Project introduces an innovative method for three-dimensional protein prediction utilizing the Streamlit framework. By incorporating machine learning techniques and interactive visualization features, we have developed a user-friendly platform that enables accurate and efficient protein structure modeling. Our results showcase the effectiveness of this approach in enhancing accessibility and facilitating data-driven decision-making in structural biology and drug discovery. The incorporation of Streamlit offers a seamless and interactive experience, making it a valuable tool for researchers and practitioners in the field of computational biology. Our system delves into an innovative approach that harnesses the capabilities of the Streamlit framework to revolutionize protein structure prediction..

3D PROTEIN STRUCTURE PREDICTION SYSTEM

"3D PROTEIN STRUCTURE PREDICTION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.264-271, May-2024, Available :http://www.jetir.org/papers/JETIRGG06042.pdf

"3D PROTEIN STRUCTURE PREDICTION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. pp264-271, May-2024, Available at : http://www.jetir.org/papers/JETIRGG06042.pdf