Prediction of multi-drug resistance transporters dataset

Data file 1 Title: Data File PROSITE_positives_PS000125.fasta. Legend: Sequence file in FASTA format of all positive examples for the ser/thr phosphatase model. Data file 2 Data File PROSITE_negatives_PS000125.fasta. Sequence file in FASTA format of all randomly selected negative examples for the ser/thr phosphatase model." Data file 3 Data File PROSITE_positives_PS00028.fasta. Sequence file in FASTA format of all positive examples for the zinc finger model. Data file 4 Data File PROSITE_negatives_PS00028.fasta. Sequence file in FASTA format of all randomly selected negative examples for the zinc finger model. Data file 5 Data File PROSITE_PS00125.txt. PROSITE record used for the ser/thr phosphatase model. Data file 6 Data File PROSITE_PS00028.txt. PROSITE record used for the zinc finger model. Data file 7 Data File MDR_TCDB_positives.fasta. Sequence file of MDR transporters used for training. FASTA format file of positive examples used in this study derived from the TCDB. Data file 8 Data File MDR_TCDB_negatives.fasta. Sequence file of non-MDR transporters used for training. FASTA format file of negative examples used in this study derived from the TCDB. Data file 9 Data File PILGram_PATTERNS_PS00125.txt. Regular expression generated by PILGram for the ser/thr phosphatase model. Data file 10 Data File PS00125_alignments.out. Sequence alignments of PILGram model matches to the positive examples in the ser/thr phosphatase model. Data file 11 Data File PILGram_PATTERNS_PS00028.txt. Regular expressions generated by PILGram for the zinc finger model. Data file 12 Data File PS00028_alignments.out. Sequence alignments of PILGram model matches to the positive examples in the zinc finger model and a summary score line that represents the overlap of the 10 different models for each sequence. Data file 13 Data File PILGram_PATTERNS_MDRpred.txt. The 36 regular expressions and associated physiochemical properties (where applicable) generated by PILGram for the MDR model . Data file 14 Data File MDRpred_alignments.out. Alignments of 36 PILGram model matches on the MDR positive example sequences. Data file 15 Data File Pfam_transporters.txt. A list of Pfam families that were used to identify transporters in the Hot Lake metagenome. Data file 16 Data File HotLake_MDRpred_predictions.fasta. A FASTA format file of 63 protein sequences from the Hot Lake metagenome that are matched by 30 or more MDRpred individual models (high confidence predictions), match Pfam families for transporters (Pfam e-value less than 1e-20), but are not identified by Pfam as multidrug resistance transporters.数据文件1：PROSITE_positives_PS000125.fasta。该文件为丝氨酸/苏氨酸磷酸酶模型全部阳性示例的FASTA格式（FASTA）序列文件。 数据文件2：PROSITE_negatives_PS000125.fasta。该文件为丝氨酸/苏氨酸磷酸酶模型全部随机选取的阴性示例的FASTA格式序列文件。 数据文件3：PROSITE_positives_PS00028.fasta。该文件为锌指模型全部阳性示例的FASTA格式序列文件。 数据文件4：PROSITE_negatives_PS00028.fasta。该文件为锌指模型全部随机选取的阴性示例的FASTA格式序列文件。 数据文件5：PROSITE_PS00125.txt。该文件为丝氨酸/苏氨酸磷酸酶模型所使用的PROSITE记录文件。 数据文件6：PROSITE_PS00028.txt。该文件为锌指模型所使用的PROSITE记录文件。 数据文件7：MDR_TCDB_positives.fasta。该文件为用于训练的多药耐药（Multidrug Resistance, MDR）转运蛋白序列文件，亦是本研究中源自TCDB的阳性示例的FASTA格式序列文件。 数据文件8：MDR_TCDB_negatives.fasta。该文件为用于训练的非多药耐药（MDR）转运蛋白序列文件，亦是本研究中源自TCDB的阴性示例的FASTA格式序列文件。 数据文件9：PILGram_PATTERNS_PS00125.txt。该文件为PILGram为丝氨酸/苏氨酸磷酸酶模型生成的正则表达式文件。 数据文件10：PS00125_alignments.out。该文件为丝氨酸/苏氨酸磷酸酶模型中PILGram模型匹配阳性示例的序列比对结果文件。 数据文件11：PILGram_PATTERNS_PS00028.txt。该文件为PILGram为锌指模型生成的正则表达式文件。 数据文件12：PS00028_alignments.out。该文件包含锌指模型中PILGram模型匹配阳性示例的序列比对结果，以及代表每条序列的10种不同模型重叠情况的汇总得分行。 数据文件13：PILGram_PATTERNS_MDRpred.txt。该文件包含PILGram为多药耐药（MDR）模型生成的36条正则表达式及相关理化属性（如适用）。 数据文件14：MDRpred_alignments.out。该文件为36个PILGram模型在MDR阳性示例序列上的匹配比对结果文件。 数据文件15：Pfam_transporters.txt。该文件为用于在热湖宏基因组中识别转运蛋白的Pfam家族列表。 数据文件16：HotLake_MDRpred_predictions.fasta。该文件为来自热湖宏基因组的63条蛋白质序列的FASTA格式文件，这些序列满足：被30个及以上的MDRpred独立模型匹配（高置信度预测结果）、匹配转运蛋白相关Pfam家族（Pfam E值（e-value）小于1e-20），但未被Pfam识别为多药耐药转运蛋白。