软件和服务器 Softwares and Servers
  • SADA: a structural analogue-based protein structure domain assembly method assisted by deep learning
  • DeepUMQA: Ultrafast Shape Recognition-based Protein Model Quality Assessment using Deep Learning.
  • DomBpred: Protein domain boundary prediction
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  • RocketX: Ab initio protein structure prediction
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  • PAthreader: Remote homologous template recognition and protein folding pathway prediction
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  • GraphCPLMQA: Assessing protein model quality based on deep graph coupled networks using protein language model
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  • DeepIDDP: inter-domain distance prediction based on deep learning for domain assenbly
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  • M-SADA: multiple conformational states assembly of multidomain proteins using evolutionary algorithm based on structural analogues and sequential homologues
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  • GraphGPSM: A Global Scoring Model for Protein Structure Using Graph Neural Networks
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  • Pathfinder: A protein folding pathway prediction based on conformational sampling
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  • MultiSFold: Protein multiple conformations prediction using multi-objective evolution algorithm
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  • DeepAssembly: Assembling complex protein structures using inter-domain interactions from deep learning
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  • M-DeepAssembly: Multi-domain protein structure prediction based on multi-objective conformation space sampling
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  • SPDesign: protein sequence designer based on structural sequence profile using ultrafast shape recognition
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