Press Releases

Profacgen, a state-of-the-art protein service provider located in NY, USA, now utilizes advanced bioinformatics analysis platform and proven expertise to help customers meet their project needs. Supported by rich experience in the field, in silico PPIs team at Profacgen now can provide personalized PPI prediction services against the protein of interest. In general, studying PPIs methods are categorized as experimental or in silico/computational. Experimental methods such as yeast two-hybrid screening, pull-down and co-immunoprecipitation assays have been commonly applied to analyze and identify PPIs, to further elucidate PPI networks (PPINs) and to reveal the molecular recognition mechanisms of different types of PPIs. However, this experimental approach has its limitations because of different physicochemical factors, such as post-translational modification (PTM), transient dynamics, proteins with intrinsically disordered regions, and physiological conditions. Moreover, experimental methods are costly, labor-intensive, time-consuming, and also prone to false positive results for transient PPIs. In contrast, with the development of deep learning and new specific algorithms and more data from structural biology and various "omics", in silico protein-protein interaction predictions have been shown to provide more reliable qualitative or even quantitative results, complement experimental approaches, and increase the robustness of biological insights gained from the results of experimental approaches, at low cost and less time. Based on the information of Profacgen’s official website, Profacgen now offers a wide range of in silico protein-protein interactions prediction services for customers to choose, including: In silico protein-protein interactions prediction (ISPPIsP) In silico protein-protein interactions networks prediction (ISPPINsP) In silico protein-protein interactions sites prediction (ISPPIsSP) “Profacgen caters to the computational and bioinformatics needs of our customers. Our goal is to improve the accessibility of computing, thereby helping users reduce hardware purchase and maintenance costs, so that they can focus on the drive for R & D innovation. In addition, we provide subsequent experimental tests to help further confirm potential interactions in vitro and in vivo.” Commented Crystal, the chief marketing staff at Profacgen. To view detailed information about In Silico Protein-protein Interactions Prediction service provided by Profacgen, please visit https://www.profacgen.com/services/bioinformatics-platform-introduction/in-silico-protein-protein-interactions-prediction.