## 1 Introduction
Currently only a limited number of tools are available for the analysis of complex ssNMR datasets, and most of these require operation through a command-line interface, requiring coding knowledge to be run. Additionally, users often need to manually prepare input files, making the process time-consuming and not user-friendly. Some of the available programs include CCPNMR Analysis [20], which provides a graphical user interface (GUI) that supports manual assignment and analysis of solid-state NMR spectra. In contrast, ARTINA [21] offers a fully automated, web-based workflow for protein assignment and structure determination using raw NMR data, but it does not allow user intervention or interactive data manipulation at any stage of the process. In terms of data processing, ssNAKE [22] is a script-based tool designed for the processing and visualization of ssNMR data. Similarly, MestReNova [23] offers a GUI for processing 1D and 2D NMR spectra and supports solid-state NMR magic angle spinning (MAS) and Cross-Polarization/MAS (CP/MAS) data. Several automated assignment tools based on scripting have also been developed for ssNMR. Some of these include ssFLYA [24; 25], which performs probabilistic assignments, and ASAP [26], which is particularly effective for congested ssNMR spectra, amongst others [27; 28; 29]. However, these tools typically operate via command-line scripts and require users to configure input parameters manually. In contrast, POKY offers an integrated, GUI-based environment that unifies multiple steps of the ssNMR workflow [30]. Within a single platform, users can process data, visualize spectra, perform manual and automated assignments, verify analyses, and conduct structure calculations, among others. The ssPINE-POKY program enhances this capability by providing a locally installable, comprehensive GUI toolkit, enabling users to perform a wide range of ssNMR tasks without requiring scripting knowledge--making it a more accessible and efficient solution for the community. We have been continuously implementing new tools in the POKY suite. For example, the iPick peak picking program has been made to support both solution NMR and ssNMR. It adopts APES's cross-validation feature across different experiments. While APES is limited in fixed solution NMR experiments, iPick's versatile design enables the user to use a wider array of solution and solid-state NMR experiments. Because ssNMR spectra are more difficult for peak picking programs, we have made REDEN to provide a way to investigate clustered regions with multiple peaks on top of each other resulting in a poor resolution. The ssPINE program has been made as an automated algorithm for ssNMR spectra [31]. It automates the process of recognizing, categorizing, and assigning signals from various types of multidimensional ssNMR spectra. This software uses a combination of automated methods to facilitate assignment and analysis of ssNMR data. With the sequence of the protein and peak lists from fourteen different 2D and 3D ssNMR experiments as inputs, ssPINE generates backbone and sidechain assignments. We have made a web submission form to run ssPINE and receive results via email. Once chemical shifts are assigned, PONDEROSA-C/S in the POKY suite can be used to automate analysis of long-mixing-time versions of 2D-(H)CC(H), NCACX and NCOCX spectra for dipolar interaction assignments, restraint generation and automated 3D structure calculation. However, the utilization of ssPINE still represents a laborious web submission process, involving several steps: generation of peak lists, navigating web browsers, file uploads, job submissions, result downloads, extraction of data, and integration with the project.