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# CDPred
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## Function of CDPred
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CDPred is a deep transformer tool for predicting interchain residue-residue distances of protein dimers. For a homodimer consiting of two identical chains, it takes the tertiary structure and multiple sequence alignment (MSA) of a chain as input to predict the residue-residue distances between the two chains. For a heterodimer consisting of two different chains, it takes the tertiary structures and MSA of the two chains as input to predict residue-residue distances between the two chains. If no MSA is available for a dimer, users can use a custom script in this package to generate a MSA as input. The input is converted into numerical features that are used by 2D attention-based transformer networks to predict residue-residue distances between two chains in a dimer.
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CDPred is a deep transformer tool for predicting interchain residue-residue distances of protein dimers. For a homodimer consiting of two identical chains, it takes the tertiary structure and multiple sequence alignment (MSA) of a chain as input to predict the residue-residue distances between the two chains. For a heterodimer consisting of two different chains, it takes the tertiary structures and MSA of the two chains as input to predict residue-residue distances between the two chains. The tertiary structure input for a chain can be generated by any tertiary structure prediction tool such as AlphaFold. The MSA can also be prepared by a third-party tool. If necessary, users can also use a custom script in this package to generate a MSA as input. The input is converted into numerical features that are used by 2D attention-based transformer networks to predict residue-residue distances between two chains in a dimer.
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# Contents
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- [System Requirements](#system-requirements)

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