-m <model_preset> Choose preset model configuration - the monomer model, the monomer model with extra ensembling, monomer model with pTM head, or multimer model (default: 'monomer') -c <db_preset> Choose preset MSA database configuration - smaller genetic database config (reduced_dbs) or f...
最终在2020年12月的国际蛋白质结构预测竞赛CASP14中，由DeepMind开发的AlphaFold2击败一众选手，在准确性...
└── uniref90.fasta12directories,38files 注:pdb_seqres.txt文件fasta格式的第二行(正常应该只是字母)里面有一些莫名其妙的数字,因此要删掉这些数字,在monomer的单体预测的时候没有问题,但是mutilmer的时候会报错,sed一下就行 配置好alphafold的conda环境 会由于系统和cuda的各种原因报错,需要一个个解决掉。这个就...
-a <gpu_devices> Comma separated list of devices to pass to 'CUDA_VISIBLE_DEVICES' (default: 0) -m <model_preset> Choose preset model configuration - the monomer model, the monomer model with extra ensembling, monomer model with pTM head, or multimer model (default: 'monomer') -c <db...
The AF2 monomer pTM model 1 was used to predict these protein structures again with predicted aligned error (PAE) scores. PAE is calculated for two residues x and y as the predicted error (in units of Angstroms (Å)) for the position of x when assuming that the predicted position for ...
The AF2 monomer pTM model 1 was used to predict these protein structures again with predicted aligned error (PAE) scores. PAE is calculated for two residues x and y as the predicted error (in units of Angstroms (Å)) for the position of x when assuming that the predicted position for ...
monomer_ptm: This is the original CASP14 model fine tuned with the pTM head, providing a pairwise confidence measure. It is slightly less accurate than the normal monomer model. multimer: This is theAlphaFold-Multimermodel. To use this model, provide a multi-sequence FASTA file. In additio...
(default: 0) -m <model_preset> Choose preset model configuration - the monomer model, the monomer model with extra ensembling, monomer model with pTM head, or multimer model (default: 'monomer') -c <db_preset> Choose preset MSA database configuration - smaller genetic database config (...
MODEL_PRESETS['monomer_ptm'] for model_name in model_names: # 实例化每个模型的config: model_config = config.model_config(model_name) if run_multimer_system: model_config.model.num_ensemble_eval = num_ensemble else: model_config.data.eval.num_ensemble = num_ensemble # 加载模型weight: ...
不过的感触是算法真不值钱，我原本预计AlphaFold2应该不会开源（毕竟AlphaFold都没有完全开源，AlphaFold2这...