Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition.
about
Accurate prediction of functional effects for variants by combining gradient tree boosting with optimal neighborhood properties.Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree.Recent Advances in Conotoxin Classification by Using Machine Learning Methods.High-Performance Prediction of Human Estrogen Receptor Agonists Based on Chemical Structures.Identifying N6-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine.A novel feature ranking method for prediction of cancer stages using proteomics data.Nanoparticle Fullerene (C60) demonstrated stable binding with antibacterial potential towards probable targets of drug resistant Salmonella typhi - a computational perspective and in vitro investigation.A Novel Hybrid Sequence-Based Model for Identifying Anticancer Peptides.AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest.iRNA-3typeA: Identifying Three Types of Modification at RNA's Adenosine Sites.PrESOgenesis: A two-layer multi-label predictor for identifying fertility-related proteins using support vector machine and pseudo amino acid composition approach.HBPred: a tool to identify growth hormone-binding proteins.A Sequential Segment Based Alpha-Helical Transmembrane Protein Alignment Method.iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC.SeqSVM: A Sequence-Based Support Vector Machine Method for Identifying Antioxidant Proteins.Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree.Identifying Phage Virion Proteins by Using Two-Step Feature Selection MethodsSc-ncDNAPred: A Sequence-Based Predictor for Identifying Non-coding DNA inPredicting Diabetes Mellitus With Machine Learning Techniques
P2860
Q36405487-0E69629C-DCEF-4AB4-9F55-383A874EE58DQ38632433-4D8A40B7-8927-4BDC-A7A7-693F464824FFQ38663400-392944E2-FEA6-402F-BA9F-91573EFD8286Q38820537-283169D2-28DD-4967-8EF5-E48F9D0B8DC2Q42290571-FD1DECC1-27CA-4EF6-8F38-4E3242591BA7Q42362058-2E822E20-BAB7-4DA8-8994-D062C8BA02BCQ49959760-BF3098AA-AA8C-4D8F-9F29-B831C834876BQ51740784-5D7F1095-8DE5-40AF-B3F7-F437112FB518Q52595216-3116A1BF-1440-45C4-B73C-018FEE93A404Q55162021-E659B374-E8B9-4127-9E68-A0FD508F4831Q55365080-261FBA59-3F73-43A5-AB33-6317E9C2AB18Q55465046-8BF095EA-9DB9-4154-A36D-E2F20691463CQ55468262-381DE351-CBA4-4EC9-89B0-39B6E909C126Q55513264-88A7CE6E-2281-4761-9010-CD99B6A357F7Q55691120-EEE9898C-F786-4A12-8018-965FADA0D011Q55692275-1A564076-C323-4992-BBDB-66DB56F6DE98Q58697072-5C546151-68DD-4FB1-B059-D8AFD98B7A24Q58746202-BAC4F471-138F-4149-BADA-E17F7C2F1639Q59128338-0AEA289E-81A9-49C3-B1F5-AA55B5B1B89A
P2860
Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition.
@en
type
label
Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition.
@en
prefLabel
Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition.
@en
P2093
P2860
P50
P356
P1476
Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition
@en
P2093
P2860
P304
P356
10.1155/2016/1654623
P407
P577
2016-06-29T00:00:00Z