The Pcons.net Meta Server () provides improved automated tools for protein structure prediction and analysis using consensus. It essentially implements all the steps necessary to produce a high quality model of a protein. The whole process is fully automated and a potential user only submits the protein sequence. For PSI-BLAST detectable targets, an accurate model is generated within minutes of submission. For more difficult targets the sequence is automatically submitted to publicly available fold-recognition servers that use more advanced approaches to find distant structural homologs. The results from these servers are analyzed and assessed for structural correctness using Pcons and ProQ; and the user is presented with a ranked list of possible models. In addition, if the protein sequence contains more than one domain, these are automatically parsed out and resubmitted to the server as individual queries.
展开▼
机译:Pcons.net Meta Server()提供了改进的自动化工具,可以使用共识来预测和分析蛋白质结构。它实质上执行了产生高质量蛋白质模型所需的所有步骤。整个过程是完全自动化的,潜在用户仅提交蛋白质序列。对于PSI-BLAST可检测的靶标,在提交后的几分钟内就会生成一个准确的模型。对于更困难的目标,序列会自动提交给公开的折叠识别服务器,该服务器使用更高级的方法来查找遥远的结构同源物。使用Pcons和ProQ对这些服务器的结果进行分析和结构正确性评估;并向用户显示可能模型的排名列表。此外,如果蛋白质序列包含多个域,则会自动解析这些域,然后将其作为单个查询重新提交给服务器。
展开▼