Underlying data for "AlphaDesign: A de novo protein design framework based on AlphaFold"
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This repository contains the underlying data for the manuscript "AlphaDesign: A de novo protein design framework based on AlphaFold".
code.tar.gz
Contains the source code for AlphaDesign under a CC BY NC SA 4.0 license, as well as the code for novobench under an Apache 2.0 license. It also includes readme files for both, and a directory of example inputs / expected outputs.
designs.tar.gz
This archive contains de novo designed protein structures, their corresponding designed sequences and AlphaFold / ESMfold-based scores for each designed sequence-structure pair. Scores are provided in the CSV format described below.
*_scores.csv file format
The *_scores.csv files contain values of relevant scores for quantifying the number of successful designs and selecting designs for experimental validation. They contain the following columns in order:
result: base name of the backbone PDB-file for this row, e.g. backbone_0.pdb
index: unique integer index of the designed sequence for this row.
sequence: designed sequence for this row.
sc_rmsd: self-consistent RMSD (scRMSD) between the designed backbone and the predicted structure of this row's sequence.
sc_tm: self-consistent TM-score (scTM) between designed and predicted structure.
plddt: mean pLDDT over all non-templated positions in the predicted structure.
pae: mean pAE of the predicted structure.
ipae: mean interface pAE of the predicted structure, if multiple chains are present. Otherwise inf.
mpae: minimum interface pAE of the predicted structure, if multiple chains are present. Otherwise inf.
subdirectories
The archive has the following directory structure:
├── binder_targets
│ ├── ...
├── binders
│ ├── pd1-100
│ ├── ...
├── complexes
│ ├── heterodimer-50-1.4
│ ├── ...
├── monomers
│ ├── camsol
│ ├── monomer-100-1.4
│ ├── ...
├── multistate
│ ├── confchange-tm0.1-50
│ └── ...
└── rf_diffusion
├── monomer-50
└── ...
The following subdirectories of the archive (monomers, complexes, binders, multistate) contain files for each type and size of protein design. E.g. for de novo designed complexes:
complexes
├── heterodimer-50-1.4
│ ├── alpha_design
│ ├── alphafold_redesign_scores.csv
│ ├── esmfold_raw_scores.csv
│ ├── esmfold_redesign_scores.csv
│ ├── mpnn_redesign
│ └── redesign_template.yaml
├── …
Here, the alpha_design directory contains PDB-files of the designed structure candidates from the first step of the AlphaDesign pipeline. The adm_redesign directory contains a FASTA-file for each PDB-file in alpha_design. This FASTA-file contains the set of redesigned sequences generated using the ADM for this PDB-file. redesign_template.yaml contains the instructions used for redesigning the sequence for each PDB-file.
In addition, these subdirectories contain *_scores.csv files. For monomers and complexes, there are three of these:
esmfold_raw_scores.csv: scores for raw sequence-structure pairs from the first step of the AlphaDesign pipeline using ESMfold.
esmfold_redesign_scores.csv: scores for ADM-redesigned sequence-structure pairs using ESMfold.
alphafold_redesign_scores.csv: scores for ADM-redesigned sequence-structure pairs using AlphaFold.
For binders and multistate, only scores of ADM-redesigned sequence-structure pairs using AlphaFold are reported. Additionally, for multistate, scores are reported for all concurrently designed states of each protein:
alphafold_redesign_scores_state_X.pdb: scores using AlphaFold for designed state “X”. State 0 corresponds to the complex / bound state, and states 1 / 2 correspond to the two monomeric states for conformation-changing de novo designs. For bispecific binder designs, state 0 corresponds to the complex with the first target, state 1 to the second.
monomers additionally contains a camsol subdirectory:
monomers/camsol
├── camsol_intrinsic_raw_monomer_sequences.txt
├── camsol_intrinsic_redesigned_monomer_sequences.txt
├── raw_sequence.fasta
└── redesigned_sequence.fasta
This directory contains the raw sequences for all designed monomers from the first step of the AlphaDesign pipeline (raw_sequence.fasta), the corresponding best ADM-redesigned sequences (redesigned_sequence.fasta) and CamSol solubility scores for both (camsol_intrinsic_raw_monomer_sequences.txt; camsol_intrinsic_redesigned_monomer_sequences.txt).
The binder_targets subdirectory contains PDB structures of all the target proteins used for binder design in this work. The RcaT structures here (RcaTSen2_active_domain.pdb and RcaTEco1_active_domain.pdb) contain contiguous cropped structures around the putative active site of these RcaT homologs.
Finally, the rf_diffusion directory and its subdirectories contain structures and sequences generated using RFdiffusion and ProteinMPNN for the comparison between RFdiffusion and AlphaDesign. There are subdirectories for the following types of designs:
monomer-<50, 100, 200, 300>: contain monomer designs with 50 to 300 amino acids
homomer-<2, 3, 4>: contain homooligomers with 50 amino acid monomers and 2 - 4 subunits.
heterodimer: contains heterodimers with 50 amino acid monomers
Each subdirectory contains an alphafold_scores.csv file with AlphaFold scores (as above) for each design; a design subdirectory with designed protein backbones in PDB format; a protein_mpnn directory with designed amino acid sequences in FASTA format.
MD_input.tar.gz
Input files for preparing ensemble all-atom molecular dynamics (MD) simulations of a subset of designed RcaT-Sen2 binder complexes in this work. The directory has the following structure:
├── RcaT_bispecifics
│ └── uncropped
│ └── ... # designed systems
├── RcaT_conf_change
│ └── cropped
│ └── ... # designed systems
├── RcaT_Sen2
│ └── ... # designed systems
└── README
With each subdirectory containing MD input files for a specific class of designed RcaT-Sen2 binders:
RcaT_bispecifics: bispecific binders for RcaT-Sen2 and RcaT-Eco1
RcaT_conf_change: RcaT-Sen2 binders designed to change conformation upon binding
RcaT_Sen2: monospecific binders to RcaT-Sen2
Each of the designed_systems subdirectories has the following contents:
<design>
├── build
│ ├── <design>.pdb
│ └── build.tleap
├── ensemble
│ └── out
│ └── 1
│ └── prod
└── eq
├── out_eq1
│ └── ref-min-10.in
├── ...
│ └── ...
└── out_eq11
└── ref-equil-NPT.in
These files have the following function:
build/<design.pdb>: PDB-format structure of the designed monomer or target-binder complex.
build/build.tleap: leap file for solvating the structure, adding ions and producing amber parameters and coordinates in the form of .crd, .pdb and .prmtop files.
ensemble/out/1/prod: amber input file for running a single replica production trajectory of an ensemble simulation. To produce additional replicas (2….N), make copies of this directory in the same path.
eq/out_eq<N>/<equilibration>.in: amber input files for each separate equilibration step (11 in total) performed before running production. These equilibration steps are described in detail in the methods section of this work.
MD_outputs.tar.gz
Time-series statistics extracted from all-atom explicit solvent molecular dynamics (MD) runs. This directory has the following structure:
└── <design type>
└── <target - # amino acids>
└── <design>
├── ensemble_timeseries
│ └── <(1 - 50)>.dat
└── prodigy_ensemble
└── <(1 - 50)>
├── mean.dat
└── time.dat
Each designed binder for which we ran ensemble MD has two directories associated with it:
ensemble_timeseries: This directory contains statistics about each time-step in each replica trajectory (e.g. 1.dat for the first replica trajectory in the ensemble). The data are given in fixed-width format with the following columns:
global RMSD, global RMSF, monomer 1 RMSD, monomer 2 RMSD, monomer 1 RMSF, monomer 2 RMSF, global intra-chain contacts, global inter-chain contacts, global total number of contacts, monomer 1 intra-chain contacts, monomer 2 intra-chain contacts, monomer 1 - monomer 2 interface contacts
prodigy_ensemble: This directory contains per-replica means of Prodigy IC values and predicted binding affinity (mean.dat) and per-replica per-time-step outputs from PRODIGY (time.dat).
本仓库包含论文手稿《AlphaDesign:一款基于AlphaFold的从头蛋白质设计(de novo protein design)框架》的配套原始数据。
code.tar.gz
该压缩包包含遵循CC BY NC SA 4.0许可协议的AlphaDesign源代码,以及遵循Apache 2.0许可协议的novobench源代码,同时附带二者的README文件,以及示例输入/预期输出目录。
designs.tar.gz
该归档文件包含从头蛋白质设计的蛋白质结构、对应的设计序列,以及每一对设计序列-结构对基于AlphaFold和ESMfold计算得到的评分。评分以如下所述的CSV格式提供。
*_scores.csv 文件格式
*_scores.csv文件包含用于量化成功设计数量、筛选用于实验验证的设计的相关评分值,按顺序包含以下列:
result: 当前行对应骨架PDB(Protein Data Bank)文件的基础名称,例如backbone_0.pdb
index: 当前行设计序列的唯一整数索引
sequence: 当前行的设计序列
sc_rmsd: 设计骨架与当前行序列的预测结构之间的自洽均方根偏差(self-consistent RMSD, scRMSD)
sc_tm: 设计结构与预测结构之间的自洽TM评分(self-consistent TM-score, scTM)
plddt: 预测结构中所有非模板化残基的平均pLDDT值
pae: 预测结构的平均pAE值
ipae: 若存在多链,则为预测结构的平均界面pAE值;否则为无穷大(inf)
mpae: 若存在多链,则为预测结构的最小界面pAE值;否则为无穷大(inf)
子目录结构
该归档文件的目录结构如下:
├── binder_targets
│ ├── ...
├── binders
│ ├── pd1-100
│ ├── ...
├── complexes
│ ├── heterodimer-50-1.4
│ ├── ...
├── monomers
│ ├── camsol
│ ├── monomer-100-1.4
│ ├── ...
├── multistate
│ ├── confchange-tm0.1-50
│ └── ...
└── rf_diffusion
├── monomer-50
└── ...
归档文件的以下子目录(monomers、complexes、binders、multistate)包含对应各类别和尺寸的蛋白质设计文件。例如,针对从头设计的复合物:
complexes
├── heterodimer-50-1.4
│ ├── alpha_design
│ ├── alphafold_redesign_scores.csv
│ ├── esmfold_raw_scores.csv
│ ├── esmfold_redesign_scores.csv
│ ├── mpnn_redesign
│ └── redesign_template.yaml
├── …
其中,alpha_design目录包含AlphaDesign流程第一步得到的设计结构候选的PDB文件。ADM重新设计目录包含alpha_design中每个PDB文件对应的FASTA文件,该FASTA文件包含针对该PDB文件使用ADM生成的一组重新设计序列。redesign_template.yaml包含为每个PDB文件重新设计序列时所用的指令。
此类子目录还包含*_scores.csv文件。对于monomers和complexes,共包含三类此类文件:
esmfold_raw_scores.csv:AlphaDesign流程第一步中使用ESMfold对原始序列-结构对计算得到的评分。
esmfold_redesign_scores.csv:使用ESMfold对ADM重新设计的序列-结构对计算得到的评分。
alphafold_redesign_scores.csv:使用AlphaFold对ADM重新设计的序列-结构对计算得到的评分。
对于binders和multistate,仅报告使用AlphaFold对ADM重新设计的序列-结构对得到的评分。此外,针对multistate,还会报告每种蛋白质所有同时设计的构象的评分:
alphafold_redesign_scores_state_X.pdb:针对设计构象“X”使用AlphaFold计算得到的评分。状态0对应复合物/结合态,状态1和2对应构象变化型从头设计的两种单体态。对于双特异性结合体设计,状态0对应与第一个靶标的复合物,状态1对应与第二个靶标的复合物。
monomers子目录还包含一个camsol子目录,其结构如下:
monomers/camsol
├── camsol_intrinsic_raw_monomer_sequences.txt
├── camsol_intrinsic_redesigned_monomer_sequences.txt
├── raw_sequence.fasta
└── redesigned_sequence.fasta
该目录包含AlphaDesign流程第一步中所有设计的单体的原始序列(raw_sequence.fasta)、对应的最优ADM重新设计序列(redesigned_sequence.fasta),以及二者的CamSol溶解度评分(分别存储于camsol_intrinsic_raw_monomer_sequences.txt和camsol_intrinsic_redesigned_monomer_sequences.txt)。
binder_targets子目录包含本研究中用于结合体设计的所有靶标蛋白质的PDB结构。此处的RcaT结构(RcaTSen2_active_domain.pdb和RcaTEco1_active_domain.pdb)包含这些RcaT同源蛋白推定活性位点周围的连续截短结构。
最后,rf_diffusion目录及其子目录包含使用RFdiffusion和ProteinMPNN生成的结构与序列,用于对比RFdiffusion与AlphaDesign的性能。包含以下类型设计的子目录:
monomer-<50, 100, 200, 300>:包含氨基酸长度为50至300的单体设计
homomer-<2, 3, 4>:包含由50个氨基酸残基的单体构成、亚基数为2-4的同源寡聚体设计
heterodimer:包含由50个氨基酸残基的单体构成的异二聚体设计
每个子目录包含:一个alphafold_scores.csv文件,内含每项设计的AlphaFold评分(格式如前所述);一个design子目录,内含PDB格式的设计蛋白质骨架;一个protein_mpnn目录,内含FASTA格式的设计氨基酸序列。
MD_input.tar.gz
该压缩包包含为本研究中部分设计的RcaT-Sen2结合体复合物制备集合式全原子分子动力学(Molecular Dynamics, MD)模拟所需的输入文件。其目录结构如下:
├── RcaT_bispecifics
│ └── uncropped
│ └── ... # 设计的体系
├── RcaT_conf_change
│ └── cropped
│ └── ... # 设计的体系
├── RcaT_Sen2
│ └── ... # 设计的体系
└── README
每个子目录对应一类特定的设计RcaT-Sen2结合体:
RcaT_bispecifics:针对RcaT-Sen2和RcaT-Eco1的双特异性结合体
RcaT_conf_change:设计为结合后发生构象变化的RcaT-Sen2结合体
RcaT_Sen2:针对RcaT-Sen2的单特异性结合体
每个设计体系子目录的内容如下:
<design>
├── build
│ ├── <design>.pdb
│ └── build.tleap
├── ensemble
│ └── out
│ └── 1
│ └── prod
└── eq
├── out_eq1
│ └── ref-min-10.in
├── ...
│ └── ...
└── out_eq11
└── ref-equil-NPT.in
这些文件的功能如下:
build/<design>.pdb:设计的单体或靶标-结合体复合物的PDB格式结构
build/build.tleap:用于溶剂化结构、添加离子并生成Amber参数与坐标文件(格式为.crd、.pdb和.prmtop)的leap脚本文件
ensemble/out/1/prod:用于运行集合式模拟中单副本生产轨迹的Amber输入文件。如需生成额外副本(2…N),只需在相同路径下复制该目录即可
eq/out_eq<N>/<equilibration>.in:运行生产模拟前执行的11个独立平衡步骤对应的Amber输入文件。这些平衡步骤的详细说明见于本研究的方法部分。
MD_outputs.tar.gz
该压缩包包含从全原子显式溶剂分子动力学(MD)运行中提取的时间序列统计数据。其目录结构如下:
└── <design type>
└── <target - # amino acids>
└── <design>
├── ensemble_timeseries
│ └── <(1 - 50)>.dat
└── prodigy_ensemble
└── <(1 - 50)>
├── mean.dat
└── time.dat
每个运行了集合式MD的设计结合体对应两个关联目录:
ensemble_timeseries:该目录包含每个副本轨迹各时间步的统计数据(例如,1.dat对应集合中的第一个副本轨迹)。数据以固定宽度格式存储,各列依次为:全局均方根偏差、全局均方根波动、单体1均方根偏差、单体2均方根偏差、单体1均方根波动、单体2均方根波动、全局链内接触数、全局链间接触数、全局总接触数、单体1链内接触数、单体2链内接触数、单体1-单体2界面接触数
prodigy_ensemble:该目录包含PRODIGY IC值和预测结合亲和力的每副本均值(mean.dat),以及PRODIGY输出的每副本每时间步数据(time.dat)。
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Zenodo创建时间:
2025-04-23



