Proteins are fundamental macromolecules in biology, serving as the building blocks of cells and tissues, while also playing crucial roles as enzymes, structural components, signaling molecules, and transporters, thus governing various essential biological processes. These versatile molecules contribute significantly to the maintenance, regulation, and functionality of living organisms, embodying the molecular machinery that drives and sustains life. The secondary structure of a protein, formed by local folding patterns like alpha helices and beta sheets, significantly influences its stability by establishing a backbone conformation. This structural arrangement not only determines the protein's stability but also plays a critical role in dictating its activity, as it forms the basis for the protein's specific shape, which is crucial for interactions with other molecules and functional roles within biological processes.Protein engineering techniques allow the modification of amino acid sequences to probe how alterations impact the stability and activity of a protein, providing insights into the importance of specific secondary structures. By selectively modifying or designing secondary structures, such as helices or sheets, protein engineers can assess their contributions to stability and activity, enabling the fine-tuning of protein properties for various applications in biotechnology, medicine, and beyond.In chapter one we reviewed literature to find out the importance of protein loop on stability and activity of proteins. We also focused on studies Rop, the model protein that we used in this dissertation.In chapter two we focused on probing the loop of the four-helix bundle protein Rop with LDAD sequence, exploring its impact on stability, activity, and structure through the creation of four libraries: NNK4, NNK5, R55Q NNK4, and R55Q NNK5. Our results revealed that contrary to the typical expectation longer loops destabilize proteins, in Rop, two 5-amino acid loops (LGGAD and LPDAD) emerged as the most stable variants, showcasing a higher tolerance for Pro and Gly with negligible effects on the protein's structure. In chapter three, we utilized MutateX to computationally randomize the protein's loop and subsequently compared displayed sequences with the experimentally created libraries detailed in chapter two. The results indicate that while A31P is more stable than the WT and D32P has almost the same melting temperature as the WT, for positions 29 and 30 proline is highly unfavored. In chapter four, we delved into investigating the core and surface residues of the Rop model protein to understand their influence on stability. For the core analysis, we examined selected variants from Tianqi Guo's library, determined their stability, and obtained X-ray diffraction data for one of the most stable variants, currently working on solving its structure. Exploring the surface, we performed computational mutagenesis via MutateX and designed variants inspired by both computational and experimental libraries made by Charu Jain to assess their stability. Additionally, we probed potential surface ionic interactions by mutating residue R55 to various amino acids and measuring their melting temperatures, crucial for understanding the impact of these interactions on protein stability.