Search results for "Peptides"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
112	Banu Dost, Nuno Bandeira, Xiangqian Li, Zhouxin Shen, Steve Briggs, Vineet Bafna	Shared Peptides in Mass Spectrometry Based Protein Quantification.	RECOMB	2009	DBLP DOI BibTeX RDF	shared peptides, protein quantification, ITRAQ, optimization, linear programming, mass spectrometry
99	Hao Yu, Minlie Huang, Xiaoyan Zhu 0001, Yabin Guo	A Novel Kernel-Based Approach for Predicting Binding Peptides for HLA Class II Molecules.	ISBRA	2007	DBLP DOI BibTeX RDF	kernel-based, SVM, HLA, string kernel
98	Carlotta Orsenigo, Carlo Vercellis	Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines.	EvoBIO	2007	DBLP DOI BibTeX RDF	HIV protease, cleavable peptides prediction, discrete support vector machines
84	Fabiano C. Fernandes, William F. Porto, Octavio L. Franco	A Wide Antimicrobial Peptides Search Method Using Fuzzy Modeling.	BSB	2009	DBLP DOI BibTeX RDF	antimicrobial peptides, fuzzy modeling and drug design
83	Bernhard Knapp, Ulrich Omasits, Sophie Frantal, Wolfgang Schreiner	A critical cross-validation of high throughput structural binding prediction methods for pMHC.	J. Comput. Aided Mol. Des.	2009	DBLP DOI BibTeX RDF	T cell epitope prediction, Threading, Energy minimization, Substitution, Scoring
83	Wen Zhang 0008, Juan Liu, Yanqing Niu, Lian Wang, Zhi Zhang	Quantitative Prediction of MHC-II Peptide Binding Affinity Using Global Description of Peptide Sequences.	BMEI (1)	2008	DBLP DOI BibTeX RDF	Quantitative prediction, MHC-II, Support vector regression
83	Jochen Supper, Pierre Dönnes, Oliver Kohlbacher	Analysis of MHC-Peptide Binding Using Amino Acid Property-Based Decision Rules.	ICAPR (1)	2005	DBLP DOI BibTeX RDF
71	An Zeng, Dan Pan 0001, Jian-bin He	Prediction of MHC II-binding peptides using rough set-based rule sets ensemble.	Appl. Intell.	2007	DBLP DOI BibTeX RDF	Rule sets ensemble, Major Histocompatibility Complex, Peptide prediction, Rough set
71	Menaka Rajapakse, Feng Lin 0002	Predicting Binding Peptides with Simultaneous Optimization of Entropy and Evolutionary Distance.	PRIB	2007	DBLP DOI BibTeX RDF
71	Tetsu Narumi, Yousuke Ohno, Noriaki Okimoto, Takahiro Koishi, Atsushi Suenaga, Noriyuki Futatsugi, Ryoko Yanai, Ryutaro Himeno, Shigenori Fujikawa, Makoto Taiji, Mitsuru Ikei	Gordon Bell finalists II - A 55 TFLOPS simulation of amyloid-forming peptides from yeast prion Sup35 with the special-purpose computer system MDGRAPE-3.	SC	2006	DBLP DOI BibTeX RDF
71	An Zeng, Qi Lun Zheng, Dan Pan 0001, Hong Peng	Utilizing modular neural networks to predict MHC class II-binding peptides.	SMC (5)	2004	DBLP DOI BibTeX RDF
71	An Zeng, Qi Lun Zheng, Dan Pan 0001, Hong Peng	Prediction of MHC class II-binding peptides based on sequential learning.	SMC (4)	2004	DBLP DOI BibTeX RDF
71	Neelanjan Mukherjee, Sayan Mukherjee 0001	Predicting Signal Peptides with Support Vector Machines.	SVM	2002	DBLP DOI BibTeX RDF
68	Galip Gürkan Yardimci, Alper Küçükural, Yücel Saygin, Osman Ugur Sezerman	Modified Association Rule Mining Approach for the MHC-Peptide Binding Problem.	ISCIS	2006	DBLP DOI BibTeX RDF	MHC Class-I, reduced amino acid alphabet, data mining, Association rule mining, Peptides
57	Ole Schulz-Trieglaff, Rene Hussong, Clemens Gröpl, Andreas Hildebrandt 0001, Knut Reinert	A Fast and Accurate Algorithm for the Quantification of Peptides from Mass Spectrometry Data.	RECOMB	2007	DBLP DOI BibTeX RDF
57	An Zeng, Dan Pan 0001, Yongquan Yu, Bi Zeng	Rule Induction for Prediction of MHC II-Binding Peptides.	RSKT	2007	DBLP DOI BibTeX RDF
57	Feng Shi, Qiujian Chen	Prediction of MHC Class I Binding Peptides Using Fourier Analysis and Support Vector Machine.	FSKD	2006	DBLP DOI BibTeX RDF
57	An Zeng, Dan Pan 0001, Jian-bin He, Qi Lun Zheng, Yongquan Yu	A Rule Sets Ensemble for Predicting MHC II-Binding Peptides.	IEA/AIE	2006	DBLP DOI BibTeX RDF
57	Kamaljit Kaur	Dynamic effects on Peptide Structure: Molecular dynamics simulations of a peptide employing ensemble of peptides.	ICMENS	2005	DBLP DOI BibTeX RDF
57	Susan L. Havre, Mudita Singhal, Deborah A. Payne, Bobbie-Jo M. Webb-Robertson	PQuad: Visualization of Predicted Peptides and Proteins.	IEEE Visualization	2004	DBLP DOI BibTeX RDF	differential proteomics, difference visualization, visualization, context, metaphor, proteomics
56	Nuno Bandeira, Julio Ng, Dario Meluzzi, Roger G. Linington, Pieter C. Dorrestein, Pavel A. Pevzner	De Novo Sequencing of Nonribosomal Peptides.	RECOMB	2008	DBLP DOI BibTeX RDF	Cyclic Peptides, De novo Algorithm, Sequencing
55	Wen Zhang 0008, Juan Liu, Yanqing Niu	Quantitative prediction of MHC-II peptide binding affinity using relevance vector machine.	Appl. Intell.	2009	DBLP DOI BibTeX RDF	Quantitative prediction, MHC-II peptide binding, Pattern recognition, Relevance vector machine
55	Claudia Hundertmark, Frank Klawonn	Clustering Likelihood Curves: Finding Deviations from Single Clusters.	HAIS	2008	DBLP DOI BibTeX RDF	iTRAQTM, LC-MS/MS, likelihood curve, Clustering
55	Pedro A. Reche, Ellis L. Reinherz	Definition of MHC Supertypes Through Clustering of MHC Peptide Binding Repertoires.	ICARIS	2004	DBLP DOI BibTeX RDF
55	Claus Lundegaard, Morten Nielsen 0001, Kasper Lamberth, Peder Worning, Christina Sylvester-Hvid, Søren Buus, Søren Brunak, Ole Lund	MHC Class I Epitope Binding Prediction Trained on Small Data Sets.	ICARIS	2004	DBLP DOI BibTeX RDF
55	Anguraj Sadanandam, Michelle L. Varney, Rakesh K. Singh	High-Throughput Computational and Experimental Biology Strategy in Identifying Tumor Expressing CAMs.	CSB	2004	DBLP DOI BibTeX RDF
55	Liliana Florea, Bjarni V. Halldórsson, Oliver Kohlbacher, Russell Schwartz, Stephen Hoffman, Sorin Istrail	Epitope Prediction Algorithms for Peptide based Vaccine Design.	CSB	2003	DBLP DOI BibTeX RDF
43	Yeon-Jin Cho, Hyeoncheol Kim, Heung-Bum Oh	Prediction Rule Generation of MHC Class I Binding Peptides Using ANN and GA.	ICNC (1)	2005	DBLP DOI BibTeX RDF
43	Martin Reczko, Petko Fiziev, Eike Staub, Artemis G. Hatzigeorgiou	Finding Signal Peptides in Human Protein Sequences Using Recurrent Neural Networks.	WABI	2002	DBLP DOI BibTeX RDF
42	David C. Wedge, Simon J. Gaskell, Simon J. Hubbard, Douglas B. Kell, King Wai Lau, Claire Eyers	Peptide detectability following ESI mass spectrometry: prediction using genetic programming.	GECCO	2007	DBLP DOI BibTeX RDF	AUROC, classification, genetic programming, proteomics, mass spectrometry, input selection
42	Ivana Bozic, Guanglan Zhang, Vladimir Brusic	Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers.	IDEAL	2005	DBLP DOI BibTeX RDF
42	Lars Linsen, Julia Löcherbach, Matthias Berth, Jörg Bernhardt, Dörte Becher	Differential Protein Expression Analysis via Liquid-Chromatography/Mass-Spectrometry Data Visualization.	IEEE Visualization	2005	DBLP DOI BibTeX RDF
42	Jing Huang, Feng Shi	Prediction of MHC class II Epitopes Using Fourier Analysis and Support Vector Machines.	WSTST	2005	DBLP DOI BibTeX RDF
42	Ian Shadforth, Daniel Crowther, Conrad Bessant	Search-Space Reduction of a Non-Redundant Peptide Database.	CSB	2004	DBLP DOI BibTeX RDF
42	Nathan Edwards, Ross Lippert	Sequence Database Compression for Peptide Identification from Tandem Mass Spectra.	WABI	2004	DBLP DOI BibTeX RDF
42	Peter J. van der Veen, Lodewyk F. A. Wessels, J. W. Slootstra, R. H. Meloen, Marcel J. T. Reinders, Johannes Hellendoorn	Determination of Binding Amino Acids Based on Random Peptide Array Screening Data.	WABI	2001	DBLP DOI BibTeX RDF
31	Albane Lysiak	Développement de méthodes informatiques pour l'évaluation et l'amélioration de l'identification par spectrométrie de masse des peptides modifiés. (Development of computational methods to evaluate and improve the identification by mass spectrometry of modified peptides).		2022	RDF
31	Azzam Alwan	Vieillissement du système cardio-vasculaire - Etude de l'activité des peptides d'élastine. (Aging of the Cardiovascular System - Study of the Elastin Peptides Activity).		2018	RDF
31	Yoann Dufresne	Algorithmique pour l'annotation automatique de peptides non ribosomiques. (Algorithms for automatic annotation of Non Ribosomal Peptides).		2016	RDF
31	Daniel Osório 0004, Paola Rondón-Villarreal, Rodrigo Torres	Peptides: A Package for Data Mining of Antimicrobial Peptides.	R J.	2015	DBLP DOI BibTeX RDF
31	Maude Pupin	Modèles bio-informatiques pour les peptides non-ribosomiques et leurs synthétases. (Computational biology for nonribosomal peptides and their synthetases).		2013	RDF
31	Ségolène Caboche	Mise en place d'une plate-forme logicielle pour l'analyse des peptides non-ribosomiaux. (Development of a software platform for analysis of nonribosomal peptides).		2009	RDF
31	Vadim P. Valuev, Dmitry A. Afonnikov, Mikhail P. Ponomarenko, Luciano Milanesi, Nikolay A. Kolchanov	ASPD (Artificially Selected Proteins/Peptides Database): a database of proteins and peptides evolved in vitro.	Nucleic Acids Res.	2002	DBLP DOI BibTeX RDF
31	Ping Huang, Susan Kim, Gilda Loew	Development of a common 3D pharmacophore for delta-opioid recognition from peptides and non-peptides using a novel computer program.	J. Comput. Aided Mol. Des.	1997	DBLP DOI BibTeX RDF
29	Liwen You, Ping Zhang 0008, Mikael Bodén, Vladimir Brusic	Understanding Prediction Systems for HLA-Binding Peptides and T-Cell Epitope Identification.	PRIB	2007	DBLP DOI BibTeX RDF
29	Kang Ning 0001, Ket Fah Chong, Hon Wai Leong	A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry.	BioDM	2006	DBLP DOI BibTeX RDF
29	Zhengdeng Lei, Yang Dai	A Class of New Kernels Based on High-Scored Pairs of k-Peptides for SVMs and Its Application for Prediction of Protein Subcellular Localization.	Trans. Comp. Sys. Biology	2005	DBLP DOI BibTeX RDF	Protein subcellular localization, BLOSUM matrix, Gram-negative bacteria, support vector machine, kernel
29	Zhengdeng Lei, Yang Dai	A New Kernel Based on High-Scored Pairs of Tri-peptides and Its Application in Prediction of Protein Subcellular Localization.	International Conference on Computational Science (2)	2005	DBLP DOI BibTeX RDF	protein subcellular localization, Gram-negative bacteria, BLOSUM matrix, support vector machine, kernel
28	Peng Zhou 0003, Xiang Chen, Zhicai Shang	Side-chain conformational space analysis (SCSA): A multi conformation-based QSAR approach for modeling and prediction of protein-peptide binding affinities.	J. Comput. Aided Mol. Des.	2009	DBLP DOI BibTeX RDF	Multi-conformation-based quantitative structure-activity relationship, Side-chain conformational space analysis, Rotamer library, Self-consistent mean field theory, Protein-peptide complex, HLA-A*0201-restricted CTL epitope
28	Zengyou He, Chao Yang, Can Yang 0002, Robert Z. Qi, Jason Po-Ming Tam, Weichuan Yu	Optimization-Based Peptide Mass Fingerprinting for Protein Mixture Identification.	RECOMB	2009	DBLP DOI BibTeX RDF
28	Freddy Cliquet, Guillaume Fertin, Irena Rusu, Dominique Tessier	Comparison of Spectra in Unsequenced Species.	BSB	2009	DBLP DOI BibTeX RDF
28	Matthew A. Goto, Eric J. Schwabe	A Dynamic Programming Algorithm for De Novo Peptide Sequencing with Variable Scoring.	ISBRA	2008	DBLP DOI BibTeX RDF
28	Nico Pfeifer, Oliver Kohlbacher	Multiple Instance Learning Allows MHC Class II Epitope Predictions Across Alleles.	WABI	2008	DBLP DOI BibTeX RDF
28	David C. Trudgian, Zheng Rong Yang	A Sparse Bayesian Position Weighted Bio-Kernel Network.	IDEAL	2007	DBLP DOI BibTeX RDF
28	Timothy Lee, Rahul Singh, Ten-Yang Yen, Bruce Macher	MS2DB: A Mass-Based Hashing Algorithm for the Identification of Disulfide Linkage Patterns in Protein Utilizing Mass Spectrometric Data.	CBMS	2007	DBLP DOI BibTeX RDF
28	Chen Yanover, Tomer Hertz	Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions.	RECOMB	2005	DBLP DOI BibTeX RDF
28	Weibo Cai, Xiaoyuan Chen	PET Imaging of Tumor Integrin Expression.	CSB Workshops	2005	DBLP DOI BibTeX RDF
28	Aaron A. Klammer, Christine C. Wu, Michael J. MacCoss, William Stafford Noble	Peptide Charge State Determination for Low-Resolution Tandem Mass Spectra.	CSB	2005	DBLP DOI BibTeX RDF	charge state, machine learning, support vector machine, proteomics, mass spectrometry
28	Krzysztof Puszynski	Parallel Implementation of Logical Analysis of Data (LAD) for Discriminatory Analysis of Protein Mass Spectrometry Data.	PPAM	2005	DBLP DOI BibTeX RDF
28	Nathan Edwards, Ross Lippert	Generating Peptide Candidates from Amino-Acid Sequence Databases for Protein Identification via Mass Spectrometry.	WABI	2002	DBLP DOI BibTeX RDF
28	Pavel A. Pevzner, Vlado Dancík, Chris L. Tang	Mutation-tolerant protein identification by mass-spectrometry.	RECOMB	2000	DBLP DOI BibTeX RDF
27	Matthew A. Addicoat, Zoe E. Brain	Using a Meta-GA for parametric optimization of simple gas in the computational chemistry domain.	GECCO	2010	DBLP DOI BibTeX RDF	carnosine, genetic algorithm parameter optimization, meta-genetic algorithms, potential energy surface, pyevolve, genetic algorithms, evolutionary computation, conformers, parameter tuning, agile programming, peptides
27	Keith G. Tomazi	Optimization of Batch Reactions in Series with Uncertainty.	Ann. Oper. Res.	2004	DBLP DOI BibTeX RDF	chemical reaction kinetics, optimization with uncertainty, nonlinear programming, peptides
15	Soohyung Park, Amy Rice, Wonpil Im, Richard W. Pastor	Spontaneous curvature generation by peptides in asymmetric bilayers.	J. Comput. Chem.	2024	DBLP DOI BibTeX RDF
15	Shahid Akbar, Ali Raza, Quan Zou 0001	Deepstacked-AVPs: predicting antiviral peptides using tri-segment evolutionary profile and word embedding based multi-perspective features with deep stacking model.	BMC Bioinform.	2024	DBLP DOI BibTeX RDF
15	Xuetong Yang, Junru Jin, Ruheng Wang, Zhongshen Li, Yu Wang, Leyi Wei	CACPP: A Contrastive Learning-Based Siamese Network to Identify Anticancer Peptides Based on Sequence Only.	J. Chem. Inf. Model.	2024	DBLP DOI BibTeX RDF
15	Guolun Zhong, Lei Deng	ACPScanner: Prediction of Anticancer Peptides by Integrated Machine Learning Methodologies.	J. Chem. Inf. Model.	2024	DBLP DOI BibTeX RDF
15	Haibin Li, Jun Meng, Zhaowei Wang 0005, Youwei Tang, Shihao Xia, Yu Wang, Zhaojing Qin, Yushi Luan	miPEPPred-FRL: A Novel Method for Predicting Plant MiRNA-Encoded Peptides Using Adaptive Feature Representation Learning.	J. Chem. Inf. Model.	2024	DBLP DOI BibTeX RDF
15	Yusuke Miyazaki 0004, Wataru Shinoda	pSPICA Force Field Extended for Proteins and Peptides.	J. Chem. Inf. Model.	2024	DBLP DOI BibTeX RDF
15	Ewerton Cristhian Lima de Oliveira, Hannah Hirmz, Evelien Wynendaele, Juliana Auzier Seixas Feio, Igor Matheus Souza Moreira, Kauê Santana da Costa, Anderson H. Lima, Bart De Spiegeleer, Claudomiro de Souza de Sales Junior	BrainPepPass: A Framework Based on Supervised Dimensionality Reduction for Predicting Blood-Brain Barrier-Penetrating Peptides.	J. Chem. Inf. Model.	2024	DBLP DOI BibTeX RDF
15	Onur Karakaya, Zeynep Hilal Kilimci	An efficient consolidation of word embedding and deep learning techniques for classifying anticancer peptides: FastText+BiLSTM.	PeerJ Comput. Sci.	2024	DBLP DOI BibTeX RDF
15	Sufyan Danish, Asfandyar Khan, L. Minh Dang, Mohammed Alonazi, Sultan Alanazi, Hyoung-Kyu Song, Hyeonjoon Moon	Metaverse Applications in Bioinformatics: A Machine Learning Framework for the Discrimination of Anti-Cancer Peptides.	Inf.	2024	DBLP DOI BibTeX RDF
15	Meng Wang, Chuqi Lei, Jianxin Wang 0001, Yaohang Li, Min Li 0007	TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning.	Briefings Bioinform.	2024	DBLP DOI BibTeX RDF
15	Aleksandra E. Badaczewska-Dawid, Karol Wroblewski, Mateusz Kurcinski, Sebastian Kmiecik	Structure prediction of linear and cyclic peptides using CABS-flex.	Briefings Bioinform.	2024	DBLP DOI BibTeX RDF
15	Kunjulakshmi R, Ambuj Kumar, Keerthana Vinod Kumar, Avik Sengupta, Kavita Kundal, Simran Sharma, Ankita Pawar, Pithani Sai Krishna, Mohammad Alfatah, Sandipan Ray, Bhavana Tiwari, Rahul Kumar	AagingBase: a comprehensive database of anti-aging peptides.	Database J. Biol. Databases Curation	2024	DBLP DOI BibTeX RDF
15	Hongfang Wu, Rongxian Chen, Xuejian Li, Yue Zhang, Jianwei Zhang, Yanbo Yang, Jun Wan, Yang Zhou, Huanchun Chen, Jinquan Li, Runze Li, Geng Zou	ESKtides: a comprehensive database and mining method for ESKAPE phage-derived antimicrobial peptides.	Database J. Biol. Databases Curation	2024	DBLP DOI BibTeX RDF
15	Ding Wang, Junru Jin, Zhongshen Li, Yu Wang, Mushuang Fan, Sirui Liang, Ran Su, Leyi Wei	StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides.	Bioinform.	2024	DBLP DOI BibTeX RDF
15	Emese I Végh, Katerina Douka	SpecieScan: semi-automated taxonomic identification of bone collagen peptides from MALDI-ToF-MS.	Bioinform.	2024	DBLP DOI BibTeX RDF
15	Zeynep Hilal Kilimci, Mustafa Yalcin	ACP-ESM: A novel framework for classification of anticancer peptides using protein-oriented transformer approach.	CoRR	2024	DBLP DOI BibTeX RDF
15	Fatemeh Sabzian-Molaei, Mohammad Amin Ahmadi, Zahra Nikfarjam, Mohammad Sabzian-Molaei	Inactivation of cell-free HIV-1 by designing potent peptides based on mutations in the CD4 binding site.	Medical Biol. Eng. Comput.	2024	DBLP DOI BibTeX RDF
15	Saima Gaffar, Mir Tanveerul Hassan, Hilal Tayara, Kil To Chong 0001	IF-AIP: A machine learning method for the identification of anti-inflammatory peptides using multi-feature fusion strategy.	Comput. Biol. Medicine	2024	DBLP DOI BibTeX RDF
15	Ritesh Sharma, Sameer Shrivastava, Sanjay Kumar Singh, Abhinav Kumar 0003, Amit Kumar Singh 0001, Sonal Saxena	EnDL-HemoLyt: Ensemble Deep Learning-Based Tool for Identifying Therapeutic Peptides With Low Hemolytic Activity.	IEEE J. Biomed. Health Informatics	2024	DBLP DOI BibTeX RDF
15	Ritesh Sharma, Sameer Shrivastava, Sanjay Kumar Singh, Abhinav Kumar 0003, Amit Kumar Singh 0001, Sonal Saxena	Artificial Intelligence-Based Model for Predicting the Minimum Inhibitory Concentration of Antibacterial Peptides Against ESKAPEE Pathogens.	IEEE J. Biomed. Health Informatics	2024	DBLP DOI BibTeX RDF
15	Shraddha Surana, Pooja Arora, Divye Singh, Deepti Sahasrabuddhe, Jayaraman K. Valadi	PandoraGAN: Generating Antiviral Peptides Using Generative Adversarial Network.	SN Comput. Sci.	2023	DBLP DOI BibTeX RDF
15	Yiping Liu, Xinyi Zhang, Yuansheng Liu, Yansen Su, Xiangxiang Zeng, Gary G. Yen	Evolutionary Multi-Objective Optimization in Searching for Various Antimicrobial Peptides [Feature].	IEEE Comput. Intell. Mag.	2023	DBLP DOI BibTeX RDF
15	Ehtisham Fazal, Muhammad Sohail Ibrahim, Seongyong Park, Imran Naseem, Abdul Wahab 0002	Anticancer Peptides Classification Using Kernel Sparse Representation Classifier.	IEEE Access	2023	DBLP DOI BibTeX RDF
15	Shahid Akbar, Ali Raza, Tamara Al Shloul, Ashfaq Ahmad, Aamir Saeed, Yazeed Yasin Ghadi, Orken Mamyrbayev, Elsayed Tag-Eldin	pAtbP-EnC: Identifying Anti-Tubercular Peptides Using Multi-Feature Representation and Genetic Algorithm-Based Deep Ensemble Model.	IEEE Access	2023	DBLP DOI BibTeX RDF
15	Haochen Zhao, Ruihong Du, Ruikang Zhou, Suning Li, Guihua Duan, Jianxin Wang 0001	SCN-MLTPP: A Multi-Label Classifier for Predicting Therapeutic Properties of Peptides Using the Stacked Capsule Network.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
15	Ke Yan 0003, Hongwu Lv, Jie Wen 0001, Yichen Guo, Yong Xu 0001, Bin Liu 0014	PreTP-Stack: Prediction of Therapeutic Peptides Based on the Stacked Ensemble Learing.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
15	Shouzhi Chen, Yanhong Liao, Jianping Zhao 0001, Yannan Bin, Chun-Hou Zheng 0001	PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
15	Phasit Charoenkwan, Sasikarn Kongsompong, Nalini Schaduangrat, Pramote Chumnanpuen, Watshara Shoombuatong	TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides.	BMC Bioinform.	2023	DBLP DOI BibTeX RDF
15	Pooja Arora, Neha Periwal, Yash Goyal, Vikas Sood, Baljeet Kaur	iIL13Pred: improved prediction of IL-13 inducing peptides using popular machine learning classifiers.	BMC Bioinform.	2023	DBLP DOI BibTeX RDF
15	Grégoire Prunier, Mehdi Cherkaoui, Albane Lysiak, Olivier Langella, Mélisande Blein-Nicolas, Virginie Lollier, Emile Benoist, Géraldine Jean, Guillaume Fertin, Hélène Rogniaux, Dominique Tessier	Fast alignment of mass spectra in large proteomics datasets, capturing dissimilarities arising from multiple complex modifications of peptides.	BMC Bioinform.	2023	DBLP DOI BibTeX RDF
15	Sébastien Ouellet, Larissa Ferguson, Angus Z. Lau, Tony K. Y. Lim	CysPresso: a classification model utilizing deep learning protein representations to predict recombinant expression of cysteine-dense peptides.	BMC Bioinform.	2023	DBLP DOI BibTeX RDF
15	Søren Toxvaerd	Origin of Homochirality: The Formation and Stability of Homochiral Peptides in Aqueous Prebiological Environment in the Earth's Crust.	Symmetry	2023	DBLP DOI BibTeX RDF
15	Joanderson Pereira Cândido da Silva, Paula Perazzo de Souza Barbosa, Joellington Marinho de Almeida, Nathália Miranda de Medeiros, Emmanuel Silva Marinho, Tatiane Santi Gadelha	Goat casein peptides and their potential through an in silico approach.	Int. J. Bioinform. Res. Appl.	2023	DBLP DOI BibTeX RDF
15	Ali Raza, Jamal Uddin, Abdullah Almuhaimeed, Shahid Akbar, Quan Zou 0001, Ashfaq Ahmad	AIPs-SnTCN: Predicting Anti-Inflammatory Peptides Using fastText and Transformer Encoder-Based Hybrid Word Embedding with Self-Normalized Temporal Convolutional Networks.	J. Chem. Inf. Model.	2023	DBLP DOI BibTeX RDF
15	Andrey I. Frolov, Sunay V. Chankeshwara, Zeyed Abdulkarim, Gian Marco Ghiandoni	pIChemiSt ─ Free Tool for the Calculation of Isoelectric Points of Modified Peptides.	J. Chem. Inf. Model.	2023	DBLP DOI BibTeX RDF
15	Zhipeng Wu, Yejian Wu, Cheng Zhu, Xinyi Wu, Silong Zhai, Xinqiao Wang, Zhihao Su, Hongliang Duan	Efficient Computational Framework for Target-Specific Active Peptide Discovery: A Case Study on IL-17C Targeting Cyclic Peptides.	J. Chem. Inf. Model.	2023	DBLP DOI BibTeX RDF
15	Karoline Sanches, Viktor Prypoten, K. George Chandy, David K. Chalmers, Raymond S. Norton	Interaction of the Inhibitory Peptides ShK and HmK with the Voltage-Gated Potassium Channel KV1.3: Role of Conformational Dynamics.	J. Chem. Inf. Model.	2023	DBLP DOI BibTeX RDF