Search results for "binding"

Hits ?▲	Authors	Title	Venue	Year	Link
9	Francesca Picarazzi, Marika Zuanon, Gaia Pasqualetto, Silvia Cammarone, Isabella Romeo, Mark T. Young, Andrea Brancale, Marcella Bassetto, Mattia Mori	Identification of Small Molecular Chaperones Binding P23H Mutant Opsin through an In Silico Structure-Based Approach.	J. Chem. Inf. Model.	2022	DBLP DOI BibTeX RDF
9	Rishal Aggarwal, Akash Gupta, Vineeth R. Chelur, C. V. Jawahar, U. Deva Priyakumar	DeepPocket: Ligand Binding Site Detection and Segmentation using 3D Convolutional Neural Networks.	J. Chem. Inf. Model.	2022	DBLP DOI BibTeX RDF
9	Ian T. Hoffecker, Alan Shaw, Viktoria Sorokina, Ioanna Smyrlaki, Björn Högberg	Stochastic modeling of antibody binding predicts programmable migration on antigen patterns.	Nat. Comput. Sci.	2022	DBLP DOI BibTeX RDF
9	Wenbin Xu, Karsten Reuter, Mie Andersen	Predicting binding motifs of complex adsorbates using machine learning with a physics-inspired graph representation.	Nat. Comput. Sci.	2022	DBLP DOI BibTeX RDF
9	Ke Han, Long-Chen Shen, Yi-Heng Zhu, Jian Xu, Jiangning Song, Dong-Jun Yu	MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Ning Wang, Ke Yan 0003, Jun Zhang, Bin Liu 0014	iDRNA-ITF: identifying DNA- and RNA-binding residues in proteins based on induction and transfer framework.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Li Zhang, Chun-Chun Wang, Xing Chen 0001	Predicting drug-target binding affinity through molecule representation block based on multi-head attention and skip connection.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Junjie Wee, Kelin Xia	Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Wenkai Yan, Zutan Li, Cong Pian, Yufeng Wu	PlantBind: an attention-based multi-label neural network for predicting plant transcription factor binding sites.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Ettayapuram Ramaprasad Azhagiya Singam, Martyn T. Smith, David McCoy, Alan E. Hubbard, Michele A. La Merrill, Kathleen A. Durkin	Predicting the binding of small molecules to nuclear receptors using machine learning.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Xinxin Peng, Xiaoyu Wang, Yuming Guo, Zongyuan Ge, Fuyi Li, Xin Gao 0001, Jiangning Song	RBP-TSTL is a two-stage transfer learning framework for genome-scale prediction of RNA-binding proteins.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Thanh-Binh Nguyen 0007, Douglas E. V. Pires, David B. Ascher	CSM-carbohydrate: protein-carbohydrate binding affinity prediction and docking scoring function.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Yuning Yang, Zilong Hou, Yansong Wang, Hongli Ma, Pingping Sun, Zhiqiang Ma 0003, Ka-Chun Wong, Xiangtao Li	HCRNet: high-throughput circRNA-binding event identification from CLIP-seq data using deep temporal convolutional network.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Qianmu Yuan, Sheng Chen, Yu Wang, Huiying Zhao, Yuedong Yang	Alignment-free metal ion-binding site prediction from protein sequence through pretrained language model and multi-task learning.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Yiming Fang, Xuejun Liu, Hui Liu	Attention-aware contrastive learning for predicting T cell receptor-antigen binding specificity.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Fuxu Wang, Haoyan Wang, Lizhuang Wang, Haoyu Lu, Shizheng Qiu, Tianyi Zang, Xinjun Zhang, Yang Hu 0008	MHCRoBERTa: pan-specific peptide-MHC class I binding prediction through transfer learning with label-agnostic protein sequences.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Yeji Wang, Shuo Wu, Yanwen Duan, Yong Huang	A point cloud-based deep learning strategy for protein-ligand binding affinity prediction.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Hui Li, Zhaohong Deng, Haitao Yang, Xiaoyong Pan, Zhisheng Wei, Hong-Bin Shen, Kup-Sze Choi, Lei Wang, Shitong Wang 0001, Jing Wu	circRNA-binding protein site prediction based on multi-view deep learning, subspace learning and multi-view classifier.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Weining Yuan, Guanxing Chen, Calvin Yu-Chian Chen	FusionDTA: attention-based feature polymerizer and knowledge distillation for drug-target binding affinity prediction.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Qianmu Yuan, Sheng Chen, Jiahua Rao, Shuangjia Zheng, Huiying Zhao, Yuedong Yang	AlphaFold2-aware protein-DNA binding site prediction using graph transformer.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Vinícius de Almeida Paiva, Murillo Ventura Mendonça, Sabrina de Azevedo Silveira, David B. Ascher, Douglas E. V. Pires, Sandro C. Izidoro	GASS-Metal: identifying metal-binding sites on protein structures using genetic algorithms.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Ruibo Zhang, Souparno Ghosh, Ranadip Pal	Predicting binding affinities of emerging variants of SARS-CoV-2 using spike protein sequencing data: observations, caveats and recommendations.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Hongfei Li, Yue Gong, Yifeng Liu, Hao Lin 0001, Guohua Wang	Detection of transcription factors binding to methylated DNA by deep recurrent neural network.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Wenjuan Nie, Lei Deng 0002	TSNAPred: predicting type-specific nucleic acid binding residues via an ensemble approach.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Rongfan Tang, Pengcheng Chen, Zhe Wang 0041, Lingling Wang, Haiping Hao, Tingjun Hou, Huiyong Sun	Characterizing the stabilization effects of stabilizers in protein-protein systems with end-point binding free energy calculations.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Yuhang Liu, Shuwen Xiong, Maocheng Wang, Jiliu Zhou, Quan Zou 0001	A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Anjali Dhall, Sumeet Patiyal, Gajendra P. S. Raghava	HLAncPred: a method for predicting promiscuous non-classical HLA binding sites.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Fuhao Zhang, Bi Zhao, Wenbo Shi, Min Li 0007, Lukasz A. Kurgan	DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Zheng Jiang, Si-Rui Xiao, Rong Liu	Dissecting and predicting different types of binding sites in nucleic acids based on structural information.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Yaqi Zhang, Gancheng Zhu, Kewei Li, Fei Li, Lan Huang 0002, Meiyu Duan, Fengfeng Zhou	HLAB: learning the BiLSTM features from the ProtBert-encoded proteins for the class I HLA-peptide binding prediction.	Briefings Bioinform.	2022	DBLP DOI BibTeX RDF
9	Pengyu Ni, Zhengchang Su	PCRMS: a database of predicted cis-regulatory modules and constituent transcription factor binding sites in genomes.	Database J. Biol. Databases Curation	2022	DBLP DOI BibTeX RDF
9	Charles Abreu Santana, Sandro C. Izidoro, Raquel Cardoso de Melo Minardi, Jonathan D. Tyzack, António J. M. Ribeiro, Douglas E. V. Pires, Janet M. Thornton, Sabrina de Azevedo Silveira	GRaSP-web: a machine learning strategy to predict binding sites based on residue neighborhood graphs.	Nucleic Acids Res.	2022	DBLP DOI BibTeX RDF
9	David Jakubec, Petr Skoda 0001, Radoslav Krivák, Marian Novotny, David Hoksza	PrankWeb 3: accelerated ligand-binding site predictions for experimental and modelled protein structures.	Nucleic Acids Res.	2022	DBLP DOI BibTeX RDF
9	Robin Steinhaus, Peter N. Robinson, Dominik Seelow	FABIAN-variant: predicting the effects of DNA variants on transcription factor binding.	Nucleic Acids Res.	2022	DBLP DOI BibTeX RDF
9	Jaime Abraham Castro-Mondragón, Rafael Riudavets Puig, Ieva Rauluseviciute, Roza Berhanu lemma, Laura Turchi, Romain Blanc-Mathieu, Jeremy Lucas, Paul Boddie, Aziz Khan, Nicolás Manosalva Pérez, Oriol Fornes, Tiffany Y. Leung, Alejandro Aguirre 0004, Fayrouz Hammal, Daniel Schmelter, Damir Baranasic, Benoît Ballester, Albin Sandelin, Boris Lenhard, Klaas Vandepoele, Wyeth W. Wasserman, François Parcy, Anthony Mathelier	JASPAR 2022: the 9th release of the open-access database of transcription factor binding profiles.	Nucleic Acids Res.	2022	DBLP DOI BibTeX RDF
9	Xiaona Wang, Fengcheng Li, Wenqi Qiu 0003, Binbin Xu, Yanlin Li, Xichen Lian, Hongyan Yu, Zhao Zhang, Jianxin Wang 0001, Zhaorong Li, Weiwei Xue, Feng Zhu 0004	SYNBIP: synthetic binding proteins for research, diagnosis and therapy.	Nucleic Acids Res.	2022	DBLP DOI BibTeX RDF
9	Alexandr Boytsov, Sergey Abramov, Ariuna Z. Aiusheeva, Alexandra M. Kasianova, Eugene Baulin, Ivan A. Kuznetsov, Yurii S. Aulchenko, Semyon Kolmykov, Ivan S. Yevshin, Fedor A. Kolpakov, Ilya E. Vorontsov, Vsevolod J. Makeev, Ivan V. Kulakovskiy	ANANASTRA: annotation and enrichment analysis of allele-specific transcription factor binding at SNPs.	Nucleic Acids Res.	2022	DBLP DOI BibTeX RDF
9	Kannan Harini, Ambuj Srivastava, Arulsamy Kulandaisamy, M. Michael Gromiha	ProNAB: database for binding affinities of protein-nucleic acid complexes and their mutants.	Nucleic Acids Res.	2022	DBLP DOI BibTeX RDF
9	Weihao Zhao, Shang Zhang, Yumin Zhu, Xiaochen Xi, Pengfei Bao, Ziyuan Ma, Thomas H. Kapral, Shuyuan Chen, Bojan Zagrovic, Yu-Cheng T. Yang, Zhi John Lu	POSTAR3: an updated platform for exploring post-transcriptional regulation coordinated by RNA-binding proteins.	Nucleic Acids Res.	2022	DBLP DOI BibTeX RDF
9	Jake E. McGreig, Hannah Uri, Magdalena Antczak, Michael J. E. Sternberg, Martin Michaelis, Mark N. Wass	3DLigandSite: structure-based prediction of protein-ligand binding sites.	Nucleic Acids Res.	2022	DBLP DOI BibTeX RDF
9	Fayrouz Hammal, Pierre de langen, Aurélie Bergon, Fabrice Lopez, Benoît Ballester	ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments.	Nucleic Acids Res.	2022	DBLP DOI BibTeX RDF
9	Yuan Chen, Guowei Dai	Binding number and path-factor critical deleted graphs.	AKCE Int. J. Graphs Comb.	2022	DBLP DOI BibTeX RDF
9	Amy Dong, Xiaomin Bao	GPSmatch: an R package for comparing Genomic-binding Profile Similarity among transcriptional regulators using customizable databases.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Puneet Rawat, Divya Sharma, R. Prabakaran, Fathima Ridha, Mugdha Mohkhedkar, Vani Janakiraman, M. Michael Gromiha	Ab-CoV: a curated database for binding affinity and neutralization profiles of coronavirus-related antibodies.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Elan Shatoff, Ralf Bundschuh	dsRBPBind: modeling the effect of RNA secondary structure on double-stranded RNA-protein binding.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Ruiyan Hou, Yuanghua Huang	Genomic sequences and RNA-binding proteins predict RNA splicing efficiency in various single-cell contexts.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Yawei Wang, Yuning Yang, Zhiqiang Ma 0003, Ka-Chun Wong, Xiangtao Li	EDCNN: identification of genome-wide RNA-binding proteins using evolutionary deep convolutional neural network.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Chih-Hao Lu, Chih-Chieh Chen, Chin-Sheng Yu, Yen-Yi Liu, Jia-Jun Liu, Sung-Tai Wei, Yu-Feng Lin	MIB2: metal ion-binding site prediction and modeling server.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Jun Zhang, Ke Yan 0003, Qingcai Chen, Bin Liu 0014	PreRBP-TL: prediction of species-specific RNA-binding proteins based on transfer learning.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Pengyu Zhang, Yingfu Wu, Haoru Zhou, Bing Zhou, Hongming Zhang 0002, Hao Wu 0062	CLNN-loop: a deep learning model to predict CTCF-mediated chromatin loops in the different cell lines and CTCF-binding sites (CBS) pair types.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Tong Zhou, Jie Rong, Yang Liu, Weikang Gong, Chunhua Li	An ensemble approach to predict binding hotspots in protein-RNA interactions based on SMOTE data balancing and Random Grouping feature selection strategies.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Min Li 0007, Zhangli Lu, Yifan Wu, Yaohang Li	BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Yoochan Myung, Douglas E. V. Pires, David B. Ascher	CSM-AB: graph-based antibody-antigen binding affinity prediction and docking scoring function.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Pengpai Li, Zhi-Ping Liu	PST-PRNA: prediction of RNA-binding sites using protein surface topography and deep learning.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Ren Yi, Kyunghyun Cho, Richard Bonneau	NetTIME: a multitask and base-pair resolution framework for improved transcription factor binding site prediction.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Jianan Li, Keisuke Yanagisawa, Yasushi Yoshikawa, Masahito Ohue, Yutaka Akiyama	Plasma protein binding prediction focusing on residue-level features and circularity of cyclic peptides by deep learning.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Ariel A. Aptekmann, J. Buongiorno, D. Giovannelli, M. Glamoclija, Diego U. Ferreiro, Yana Bromberg	mebipred: identifying metal-binding potential in protein sequence.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Ruheng Wang, Junru Jin, Quan Zou 0001, Kenta Nakai, Leyi Wei	Predicting protein-peptide binding residues via interpretable deep learning.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou 0001	NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Brendon H. Cooper, Tsu-Pei Chiu, Remo Rohs	Top-Down Crawl: a method for the ultra-rapid and motif-free alignment of sequences with associated binding metrics.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Yan Li, Lijun Quan, Yiting Zhou, Yelu Jiang, Kailong Li, Tingfang Wu, Qiang Lyu	Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence.	Bioinform.	2022	DBLP DOI BibTeX RDF
9	Yanyi Chu, Yan Zhang, Qiankun Wang, Lingfeng Zhang, Xuhong Wang, Yanjing Wang 0003, Dennis Russell Salahub, Qin Xu, Jianmin Wang, Xue Jiang, Yi Xiong, Dong-Qing Wei	A transformer-based model to predict peptide-HLA class I binding and optimize mutated peptides for vaccine design.	Nat. Mach. Intell.	2022	DBLP DOI BibTeX RDF
9	Simone Brogi, Sara Rossi, Roberta Ibba, Stefania Butini, Vincenzo Calderone, Giuseppe Campiani, Sandra Gemma	In Silico Analysis of Peptide-Based Derivatives Containing Bifunctional Warheads Engaging Prime and Non-Prime Subsites to Covalent Binding SARS-CoV-2 Main Protease (Mpro).	Comput.	2022	DBLP DOI BibTeX RDF
9	Gregory W. Kyro, Rafael I. Brent, Victor S. Batista	HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein-Ligand Binding Affinity Prediction.	CoRR	2022	DBLP DOI BibTeX RDF
9	Binjie Guo, Hanyu Zheng, Huan Huang, Haohan Jiang, Xiaodan Li, Naiyu Guan, Yanming Zuo, Yicheng Zhang, Hengfu Yang, Xuhua Wang	Protein 3D structure-based neural networks highly improve the accuracy in compound-protein binding affinity prediction.	CoRR	2022	DBLP DOI BibTeX RDF
9	Fang Wu, Qiang Zhang, Dragomir R. Radev, Yuyang Wang, Xurui Jin, Yinghui Jiang, Zhangming Niu, Stan Z. Li	Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding.	CoRR	2022	DBLP DOI BibTeX RDF
9	Dmitrii Gavrilev, Nurlybek Amangeldiuly, Sergei Ivanov 0002, Evgeny Burnaev	High Performance of Gradient Boosting in Binding Affinity Prediction.	CoRR	2022	DBLP DOI BibTeX RDF
9	Alessandro Achille, Stefano Soatto	On Binding Objects to Symbols: Learning Physical Concepts to Understand Real from Fake.	CoRR	2022	DBLP DOI BibTeX RDF
9	Ondrej Biza, Robert Platt 0001, Jan-Willem van de Meent, Lawson L. S. Wong, Thomas Kipf	Binding Actions to Objects in World Models.	CoRR	2022	DBLP DOI BibTeX RDF
9		Do Transformers use variable binding?	CoRR	2022	DBLP DOI BibTeX RDF
9	Shrimon Mukherjee, Madhusudan Ghosh, Partha Basuchowdhuri	Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity.	CoRR	2022	DBLP BibTeX RDF
9	Kota Chin, Keita Emura, Kazumasa Omote, Shingo Sato	A Sealed-bid Auction with Fund Binding: Preventing Maximum Bidding Price Leakage.	CoRR	2022	DBLP DOI BibTeX RDF
9	André Hirschowitz, Tom Hirschowitz, Ambroise Lafont, Marco Maggesi	Variable binding and substitution for (nameless) dummies.	CoRR	2022	DBLP DOI BibTeX RDF
9	Hannes Stärk, Octavian-Eugen Ganea, Lagnajit Pattanaik, Regina Barzilay, Tommi S. Jaakkola	EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction.	CoRR	2022	DBLP BibTeX RDF
9	Syeda Sakira Hassan, Rahul Mangayil, Tommi Aho, Olli Yli-Harja, Matti Karp	Identification of feasible pathway information for c-di-GMP binding proteins in cellulose production.	CoRR	2022	DBLP DOI BibTeX RDF
9	Haoyu Liu, Yang Liu, Hongkai He, Hangfang Yang	LEBP - Language Expectation & Binding Policy: A Two-Stream Framework for Embodied Vision-and-Language Interaction Task Learning Agents.	CoRR	2022	DBLP DOI BibTeX RDF
9	Franziska Kaltenberger, Sebastian Otte, Martin V. Butz	Binding Dancers Into Attractors.	CoRR	2022	DBLP DOI BibTeX RDF
9	Yiming Fang, Xuejun Liu, Hui Liu	Attention-aware contrastive learning for predicting T cell receptor-antigen binding specificity.	CoRR	2022	DBLP DOI BibTeX RDF
9	Zhijian Lyu, Shaohua Jiang, Yigao Liang, Min Gao	GDGRU-DTA: Predicting Drug-Target Binding Affinity Based on GNN and Double GRU.	CoRR	2022	DBLP DOI BibTeX RDF
9	Haitao Lin, Yufei Huang, Meng Liu 0014, Xuanjing Li, Shuiwang Ji, Stan Z. Li	DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding.	CoRR	2022	DBLP DOI BibTeX RDF
9	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.	CoRR	2022	DBLP DOI BibTeX RDF
9	Zhoujun Cheng, Tianbao Xie, Peng Shi 0010, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu 0009	Binding Language Models in Symbolic Languages.	CoRR	2022	DBLP DOI BibTeX RDF
9	Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji	Generating 3D Molecules for Target Protein Binding.	CoRR	2022	DBLP DOI BibTeX RDF
9	Hao Zheng, Hui Lin, Rong Zhao, Luping Shi	Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention.	CoRR	2022	DBLP DOI BibTeX RDF
9	Yiqiang Yi, Xu Wan, Kangfei Zhao, Le Ou-Yang, Peilin Zhao	Predicting Protein-Ligand Binding Affinity with Equivariant Line Graph Network.	CoRR	2022	DBLP DOI BibTeX RDF
9	Naoki Hiratani, Haim Sompolinsky	Optimal quadratic binding for relational reasoning in vector symbolic neural architectures.	CoRR	2022	DBLP DOI BibTeX RDF
9	Jérôme Durand-Lose, Hendrik Jan Hoogeboom, Natasa Jonoska	Deterministic Non-cooperative Binding in Two-Dimensional Tile Assembly Systems Must Have Ultimately Periodic Paths.	CoRR	2022	DBLP BibTeX RDF
9	Zhaoyang Chu, Shichao Liu 0002, Wen Zhang 0008	Hierarchical Graph Representation Learning for the Prediction of Drug-Target Binding Affinity.	CoRR	2022	DBLP DOI BibTeX RDF
9	Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu	Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling.	CoRR	2022	DBLP DOI BibTeX RDF
9	Dmitri A. Rachkovskij, Denis Kleyko	Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences.	CoRR	2022	DBLP BibTeX RDF
9	Elizaveta Vinogradova, Karina Pats, Ferdinand Molnár, Siamac Fazli	MLT-LE: predicting drug-target binding affinity with multi-task residual neural networks.	CoRR	2022	DBLP DOI BibTeX RDF
9	Xiaoxiao You, Xiuzhen Hu, Zhenxing Feng, Ziyang Wang, Sixi Hao, Caiyun Yang	Recognizing protein-metal ion ligands binding residues by random forest algorithm with adding orthogonal properties.	Comput. Biol. Chem.	2022	DBLP DOI BibTeX RDF
9	Shohei Yamaguchi, Haruka Nakashima, Yoshitaka Moriwaki, Tohru Terada, Kentaro Shimizu	Prediction of protein mononucleotide binding sites using AlphaFold2 and machine learning.	Comput. Biol. Chem.	2022	DBLP DOI BibTeX RDF
9	Debarati Paul, Premananda Basak, Shubhra Ghosh Dastidar	Remote communication between unstructured and structured regions of Bcl-2 tunes its ligand binding capacity: Mechanistic insights.	Comput. Biol. Chem.	2022	DBLP DOI BibTeX RDF
9	Magdalena Slusarz	Molecular insights into the mechanism of sugar-modified enkephalin binding to opioid receptors.	Comput. Biol. Chem.	2022	DBLP DOI BibTeX RDF
9	Annemarie Danielsson, Malgorzata M. Kogut, Martyna Maszota-Zieleniak, Pradeep Chopra, Geert-Jan Boons, Sergey A. Samsonov	Molecular dynamics-based descriptors of 3-O-Sulfated Heparan sulfate as contributors of protein binding specificity.	Comput. Biol. Chem.	2022	DBLP DOI BibTeX RDF
9	Ekampreet Singh, Rajat Kumar Jha, Rameez Jabeer Khan, Ankit Kumar, Monika Jain, Jayaraman Muthukumaran, Amit Kumar Singh	A computational essential dynamics approach to investigate structural influences of ligand binding on Papain like protease from SARS-CoV-2.	Comput. Biol. Chem.	2022	DBLP DOI BibTeX RDF
9	Soundarya Priya Alexandar, Ragothaman Yennamalli, Venkatasubramanian Ulaganathan	Coarse grained modelling highlights the binding differences in the two different allosteric sites of the Human Kinesin EG5 and its implications in inhibitor design.	Comput. Biol. Chem.	2022	DBLP DOI BibTeX RDF
9	Thitiya Boonma, Nattharuja Soikudrua, Bodee Nutho, Thanyada Rungrotmongkol, Nadtanet Nunthaboot	Insights into binding molecular mechanism of hemagglutinin H3N2 of influenza virus complexed with arbidol and its derivative: A molecular dynamics simulation perspective.	Comput. Biol. Chem.	2022	DBLP DOI BibTeX RDF
9	Muhammad Mazhar Fareed, Sana Ullah, Shan Aziz, Todd Axel Johnsen, Sergey Shityakov	In-silico analysis of non-synonymous single nucleotide polymorphisms in human β-defensin type 1 gene reveals their impact on protein-ligand binding sites.	Comput. Biol. Chem.	2022	DBLP DOI BibTeX RDF