Search results for "binding"

Hits ?▲	Authors	Title	Venue	Year	Link
9	Yi-Heng Zhu, Zi Liu, Yan Liu 0038, Zhiwei Ji, Dong-Jun Yu	ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction.	Briefings Bioinform.	2024	DBLP DOI BibTeX RDF
9	Sowmya Ramaswamy Krishnan, Arijit Roy, M. Michael Gromiha	Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning.	Briefings Bioinform.	2024	DBLP DOI BibTeX RDF
9	Junkang Wei, Jin Xiao, Siyuan Chen, Licheng Zong, Xin Gao 0001, Yu Li	ProNet DB: a proteome-wise database for protein surface property representations and RNA-binding profiles.	Database J. Biol. Databases Curation	2024	DBLP DOI BibTeX RDF
9	Alejandro José Uría-Álvarez, Juan José Palacios 0002	tightbinder: A Python package for semi-empirical tight-binding models of crystalline and disordered solids.	J. Open Source Softw.	2024	DBLP DOI BibTeX RDF
9	Xuejiao Wang, Tingfang Wu, Yelu Jiang, Taoning Chen, Deng Pan, Zhi Jin, Jingxin Xie, Lijun Quan, Qiang Lyu	RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding.	Bioinform.	2024	DBLP DOI BibTeX RDF
9	Aditi Shenoy, Yogesh Kalakoti, Durai Sundar, Arne Elofsson	M-Ionic: prediction of metal-ion-binding sites from sequence using residue embeddings.	Bioinform.	2024	DBLP DOI BibTeX RDF
9	Shuangli Li, Jingbo Zhou, Tong Xu 0001, Liang Huang 0001, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong 0001	GIaNt: Protein-Ligand Binding Affinity Prediction via Geometry-Aware Interactive Graph Neural Network.	IEEE Trans. Knowl. Data Eng.	2024	DBLP DOI BibTeX RDF
9	Vincent Freiberger, Erik Buchmann	Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies.	CoRR	2024	DBLP DOI BibTeX RDF
9	Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Vignesh C. Bhethanabotla, Nakul Rampal, Omar Yaghi, Christian Borgs, Anima Anandkumar, Hongyu Guo, Jennifer T. Chayes	A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics.	CoRR	2024	DBLP DOI BibTeX RDF
9	Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang	Binding-Adaptive Diffusion Models for Structure-Based Drug Design.	CoRR	2024	DBLP DOI BibTeX RDF
9	Fengyu Yang, Chao Feng, Ziyang Chen, Hyoungseob Park, Daniel Wang 0005, Yiming Dou, Ziyao Zeng, Xien Chen, Rit Gangopadhyay, Andrew Owens, Alex Wong 0001	Binding Touch to Everything: Learning Unified Multimodal Tactile Representations.	CoRR	2024	DBLP DOI BibTeX RDF
9	Sindy Löwe, Francesco Locatello, Max Welling	Binding Dynamics in Rotating Features.	CoRR	2024	DBLP DOI BibTeX RDF
9	Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone 0001, Tong Che	Parallelized Spatiotemporal Binding.	CoRR	2024	DBLP DOI BibTeX RDF
9	Shreyas V, Swati Agarwal 0001	Predicting ATP binding sites in protein sequences using Deep Learning and Natural Language Processing.	CoRR	2024	DBLP DOI BibTeX RDF
9	Haolin Li, Shuyang Jiang, Lifeng Zhang, Siyuan Du, Guangnan Ye, Hongfeng Chai	Fraud Detection with Binding Global and Local Relational Interaction.	CoRR	2024	DBLP DOI BibTeX RDF
9	Ashkan Taghipour, Morteza Ghahremani, Mohammed Bennamoun, Aref Miri Rekavandi, Hamid Laga, Farid Boussaïd	Box It to Bind It: Unified Layout Control and Attribute Binding in T2I Diffusion Models.	CoRR	2024	DBLP DOI BibTeX RDF
9	Chuangchuang Tian, Luping Wang, Zhiming Cui, Hongjie Wu	GTAMP-DTA: Graph transformer combined with attention mechanism for drug-target binding affinity prediction.	Comput. Biol. Chem.	2024	DBLP DOI BibTeX RDF
9	Min Gao, Shaohua Jiang, Weibin Ding, Ting Xu, Zhijian Lyu	Learning long- and short-term dependencies for improving drug-target binding affinity prediction using transformer and edge contraction pooling.	J. Bioinform. Comput. Biol.	2024	DBLP DOI BibTeX RDF
9	André Hirschowitz, Tom Hirschowitz, Ambroise Lafont, Marco Maggesi	Variable binding and substitution for (nameless) dummies.	Log. Methods Comput. Sci.	2024	DBLP DOI BibTeX RDF
9	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
9	T. Reddy K. Tommy Pauly	Discovery of Oblivious Services via Service Binding Records.	RFC	2024	DBLP DOI BibTeX RDF
9	Md Wasi Ul Kabir, Duaa Mohammad Alawad, Pujan Pokhrel, Md. Tamjidul Hoque	DRBpred: A sequence-based machine learning method to effectively predict DNA- and RNA-binding residues.	Comput. Biol. Medicine	2024	DBLP DOI BibTeX RDF
9	Sangmin Seo, Jonghwan Choi, Seungyeon Choi, Jieun Lee, Chihyun Park, Sanghyun Park 0003	Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism.	Eng. Appl. Artif. Intell.	2024	DBLP DOI BibTeX RDF
9	Ehsan Ebrahimi	Non-Binding (Designated Verifier) Signature.	IACR Cryptol. ePrint Arch.	2024	DBLP BibTeX RDF
9	Yukichi Horiguchi, Masato Yasuura, Hiroki Ashiba, Zheng Lin Tan, Takashi Fukuda	Simple Binding and Dissociation of a Sialoglycoprotein Using Boronic Acid-Modified Functional Interfaces on Microparticles.	Sensors	2024	DBLP DOI BibTeX RDF
9	Matthias Paul, Harald Kühnel, Rudolf Oberpertinger, Christoph Mehofer, Doris Pollhammer, Markus Wellenzohn	Two-Layer Inkjet-Printed Microwave Split-Ring Resonators for Detecting Analyte Binding to the Gold Surface.	Sensors	2024	DBLP DOI BibTeX RDF
9	Xun Wang, Lian Qiao, Peng Qu, Qing Yang	TBCA: Prediction of Transcription Factor Binding Sites Using a Deep Neural Network With Lightweight Attention Mechanism.	IEEE J. Biomed. Health Informatics	2024	DBLP DOI BibTeX RDF
9	Kaiser J. Loell, Ryan Z. Friedman, Connie A. Myers, Joseph C. Corbo, Barak A. Cohen, Michael A. White	Transcription factor interactions explain the context-dependent activity of CRX binding sites.	PLoS Comput. Biol.	2024	DBLP DOI BibTeX RDF
9	Sizhe Qiu, Xinlong Wan, Yueshan Liang, Cameron R. Lamoureux, Amir Akbari, Bernhard O. Palsson, Daniel C. Zielinski	Inferred regulons are consistent with regulator binding sequences in E. coli.	PLoS Comput. Biol.	2024	DBLP DOI BibTeX RDF
9	Debby D. Wang, Wenhui Wu, Ran Wang	Structure-based, deep-learning models for protein-ligand binding affinity prediction.	J. Cheminformatics	2024	DBLP DOI BibTeX RDF
9	Anna Carbery, Martin Buttenschoen, Rachael Skyner, Frank von Delft, Charlotte M. Deane	Learnt representations of proteins can be used for accurate prediction of small molecule binding sites on experimentally determined and predicted protein structures.	J. Cheminformatics	2024	DBLP DOI BibTeX RDF
9	Zishan Xu, Linlin Song, Shichao Liu 0002, Wen Zhang 0008	DeepCRBP: improved predicting function of circRNA-RBP binding sites with deep feature learning.	Frontiers Comput. Sci.	2024	DBLP DOI BibTeX RDF
9	Nhat Khang Ngo, Truong Son Hy	Multimodal protein representation learning and target-aware variational auto-encoders for protein-binding ligand generation.	Mach. Learn. Sci. Technol.	2024	DBLP DOI BibTeX RDF
9	Nosiba Yousif Ahmed, Wafa Alameen Alsanousi, Eman Mohammed Hamid, Murtada K. Elbashir, Khadija Mohammed Al-Aidarous, Mogtaba Mohammed, Mohamed Elhafiz M. Musa	An Efficient Deep Learning Approach for DNA-Binding Proteins Classification from Primary Sequences.	Int. J. Comput. Intell. Syst.	2024	DBLP DOI BibTeX RDF
9	Masatoshi Kawai, Akihiro Ida, Toshihiro Hanawa, Tetsuya Hoshino	Optimize Efficiency of Utilizing Systems by Dynamic Core Binding.	HPC Asia Workshops	2024	DBLP DOI BibTeX RDF
9	Rebecca Gelles, Veronica Kinoshita, Micah Musser, James Dunham	Resource Democratization: Is Compute the Binding Constraint on AI Research?	AAAI	2024	DBLP DOI BibTeX RDF
9	Linglin Jing, Sheng Xu, Yifan Wang 0008, Yuzhe Zhou, Tao Shen, Zhigang Ji, Hui Fang 0003, Zhen Li, Siqi Sun	CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues.	AAAI	2024	DBLP DOI BibTeX RDF
9	Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang	Binding-Adaptive Diffusion Models for Structure-Based Drug Design.	AAAI	2024	DBLP DOI BibTeX RDF
9	Kangsan Kim, Jingyu Yang, Kyo Chul Lee, Kwang Seok Kim, Sang-Keun Woo	Binding Affinity Prediction of the Radiolabeled PSMA-617 with PSMA via Graph Neural Network.	BigComp	2024	DBLP DOI BibTeX RDF
9	Yunhai Li, Zhen Zhan, Xueheng Kuang, Yonggang Li, Shengjun Yuan	TBPLaS: A tight-binding package for large-scale simulation.	Comput. Phys. Commun.	2023	DBLP DOI BibTeX RDF
9	Alexandre C. Dias, Julian F. R. V. Silveira, Fanyao Qu	WanTiBEXOS: A Wannier based Tight Binding code for electronic band structure, excitonic and optoelectronic properties of solids.	Comput. Phys. Commun.	2023	DBLP DOI BibTeX RDF
9	Gan Jin, Hongsheng Pang, Yuyang Ji, Zujian Dai, Lixin He	PYATB: An efficient Python package for electronic structure calculations using ab initio tight-binding model.	Comput. Phys. Commun.	2023	DBLP DOI BibTeX RDF
9	Xiaonan Liu, Joshua Schroeder, Zhiyu Wang, Xingxing Yu	Polynomial χ-binding functions for t-broom-free graphs.	J. Comb. Theory, Ser. B	2023	DBLP DOI BibTeX RDF
9	Moolchand Sharma, Suman Deswal	Bio-inspired algorithm-based hyperparameter tuning for drug-target binding affinity prediction in healthcare.	Intell. Decis. Technol.	2023	DBLP DOI BibTeX RDF
9	Xinge Feng, Xingchao Deng	Toughness and binding number bounds of star-like and path factor.	RAIRO Oper. Res.	2023	DBLP DOI BibTeX RDF
9	Ji Yang, Shuning Zhang	A Protein-DNA Binding Site Prediction Method Based on Multi-View Feature Fusion of Adjacent Residue.	IEEE Access	2023	DBLP DOI BibTeX RDF
9	Muhammad K. N. Mursalim, Tati Rajab Mengko, Rukman Hertadi, Ayu Purwarianti, Meredita Susanty	EmbedCaps-DBP: Predicting DNA-Binding Proteins Using Protein Sequence Embedding and Capsule Network.	IEEE Access	2023	DBLP DOI BibTeX RDF
9	Tatsuya Abe 0001, Daisuke Kimura	Extending a Call-by-Value Calculus Based on Bilateralism with Dynamic Binding.	FLAP	2023	DBLP BibTeX RDF
9	Krzysztof Pomorski	Equivalence between finite state stochastic machine, non-dissipative and dissipative tight-binding and Schrödinger model.	Math. Comput. Simul.	2023	DBLP DOI BibTeX RDF
9	Hagen Neugebauer, Benedikt Bädorf, Sebastian Ehlert, Andreas Hansen, Stefan Grimme	High-throughput screening of spin states for transition metal complexes with spin-polarized extended tight-binding methods.	J. Comput. Chem.	2023	DBLP DOI BibTeX RDF
9	Lukas Raßpe-Lange, Alexander Hoffmann, Christoph Udo Gertig, Joshua Heck, Kai Leonhard, Sonja Herres-Pawlis	Geometrical benchmarking and analysis of redox potentials of copper(I/II) guanidine-quinoline complexes: Comparison of semi-empirical tight-binding and DFT methods and the challenge of describing the entatic state (part III).	J. Comput. Chem.	2023	DBLP DOI BibTeX RDF
9	Okke Melse, Iris Antes, Ville R. I. Kaila, Martin Zacharias	Benchmarking biomolecular force field-based Zn2+ for mono- and bimetallic ligand binding sites.	J. Comput. Chem.	2023	DBLP DOI BibTeX RDF
9	Shinya Nakamura, Tatsuo Akaki, Keiji Nishiwaki, Midori Nakatani, Yuji Kawase, Yuki Takahashi, Isao Nakanishi	System truncation accelerates binding affinity calculations with the fragment molecular orbital method: A benchmark study.	J. Comput. Chem.	2023	DBLP DOI BibTeX RDF
9	Yenamareddy Bhargav Kumar, Anwesh Pandey, Nandan Kumar, G. Narahari Sastry	Binding propensity and selectivity of cationic, anionic, and neutral guests with model hydrophobic hosts: A first principles study.	J. Comput. Chem.	2023	DBLP DOI BibTeX RDF
9	Seonghan Kim, Yi Liu, Matthew Ziarnik, Sangjae Seo, Yiwei Cao, X. Frank Zhang, Wonpil Im	Binding of human ACE2 and RBD of Omicron enhanced by unique interaction patterns among SARS-CoV-2 variants of concern.	J. Comput. Chem.	2023	DBLP DOI BibTeX RDF
9	Dan Fan, Juan Du, Jingshuang Dang, Changwei Wang, Yirong Mo	The strength and selectivity of perfluorinated nano-hoops and buckybowls for anion binding and the nature of anion-π interactions.	J. Comput. Chem.	2023	DBLP DOI BibTeX RDF
9	Mahroof Kalathingal, Young Min Rhee	Molecular mechanism of binding between a therapeutic RNA aptamer and its protein target VEGF: A molecular dynamics study.	J. Comput. Chem.	2023	DBLP DOI BibTeX RDF
9	Mandakini Singh, Santosh Kumar	Effect of single nucleotide polymorphisms on the structure of long noncoding RNAs and their interaction with RNA binding proteins.	Biosyst.	2023	DBLP DOI BibTeX RDF
9	Shixuan Guan, Quan Zou 0001, Hongjie Wu, Yijie Ding	Protein-DNA Binding Residues Prediction Using a Deep Learning Model With Hierarchical Feature Extraction.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Qinhu Zhang, Youhong Xu, Siguo Wang, Yong Wu, Yuannong Ye, Chang-An Yuan 0001, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang	Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Ning Wang, Jun Zhang, Bin Liu 0014	iDRBP-EL: Identifying DNA- and RNA- Binding Proteins Based on Hierarchical Ensemble Learning.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Nian-Nian Liu, Ze-Qun Zhang, Yanan Wu, Ying-Long Wang, Ying Liang	CRBSP:Prediction of CircRNA-RBP Binding Sites Based on Multimodal Intermediate Fusion.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Yinyin Gong, Rui Li 0019, Bin Fu, Yan Liu 0032, Jilong Wang 0002, Renfa Li, Danny Z. Chen	A CNN-LSTM Ensemble Model for Predicting Protein-Protein Interaction Binding Sites.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Zhengsen Pan, Shusen Zhou, Tong Liu, Chanjuan Liu, Mujun Zang, Qingjun Wang	WVDL: Weighted Voting Deep Learning Model for Predicting RNA-Protein Binding Sites.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Ying He, Qinhu Zhang, Siguo Wang, Zhanheng Chen, Zhen Cui, Zhen-Hao Guo, De-Shuang Huang	Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Shixuan Guan, Yuqing Qian, Tengsheng Jiang, Min Jiang, Yijie Ding, Hongjie Wu	MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Shima Shafiee, Abdolhossein Fathi, Ghazaleh Taherzadeh	SPPPred: Sequence-Based Protein-Peptide Binding Residue Prediction Using Genetic Programming and Ensemble Learning.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Peng Chen 0001, Huimin Shen, Youzhi Zhang 0004, Bing Wang 0004, Pengying Gu	SGNet: Sequence-Based Convolution and Ligand Graph Network for Protein Binding Affinity Prediction.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Zhengsen Pan, Shusen Zhou, Hailin Zou, Chanjuan Liu, Mujun Zang, Tong Liu, Qingjun Wang	MCNN: Multiple Convolutional Neural Networks for RNA-Protein Binding Sites Prediction.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Lijun Quan, Xiaomin Chu, Xiaoyu Sun 0006, Tingfang Wu, Qiang Lyu	How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Yongchang Liu, Peiying Li, Shikui Tu, Lei Xu 0001	RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Yelu Jiang, Lijun Quan, Kailong Li, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu	DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Qichang Zhao, Guihua Duan, Mengyun Yang, Zhongjian Cheng, Yaohang Li, Jianxin Wang 0001	AttentionDTA: Drug-Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Xinyi Wang, Mingyang Zhang, Chunlin Long, Lin Yao, Min Zhu	Self-Attention Based Neural Network for Predicting RNA-Protein Binding Sites.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Jian Zhang 0020, Feng Zhou, Xingchen Liang, Guifu Yang	SCAMPER: Accurate Type-Specific Prediction of Calcium-Binding Residues Using Sequence-Derived Features.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Wei Wang 0166, Bin Sun, MengXue Yu, ShiYu Wu, Dong Liu 0008, Hongjun Zhang, Yun Zhou	GraphPLBR: Protein-Ligand Binding Residue Prediction With Deep Graph Convolution Network.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Xiuquan Du, Jiajia Hu	Deep Multi-Label Joint Learning for RNA and DNA-Binding Proteins Prediction.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
9	Xuekai Zhu, Juan Liu 0007, Jian Zhang, Zhihui Yang, Feng Yang, Xiaolei Zhang	FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction.	Big Data Min. Anal.	2023	DBLP DOI BibTeX RDF
9	Nguyen Huy Hoang Vo, Huong Thi Thu Phung, Khanh Linh Chung, Thien Y. Vu	Design And Evaluating The Efficacy Of Novel Antibodies Enhancing Binding On CTLA-4 And PD-1 Immune Checkpoints.	J. Adv. Eng. Comput.	2023	DBLP DOI BibTeX RDF
9	Vimal Dwivedi, Mubashar Iqbal 0001, Alex Norta, Raimundas Matulevicius	Evaluation of a Legally Binding Smart-Contract Language for Blockchain Applications.	J. Univers. Comput. Sci.	2023	DBLP DOI BibTeX RDF
9	Tanya Liyaqat, Tanvir Ahmad, Chandni Saxena	TeM-DTBA: time-efficient drug target binding affinity prediction using multiple modalities with Lasso feature selection.	J. Comput. Aided Mol. Des.	2023	DBLP DOI BibTeX RDF
9	Roberto Paciotti, Alessandro Marrone, Cecilia Coletti, Nazzareno Re	Improving the accuracy of the FMO binding affinity prediction of ligand-receptor complexes containing metals.	J. Comput. Aided Mol. Des.	2023	DBLP DOI BibTeX RDF
9	Nour Jamal Jaradat, Mámon M. Hatmal, Dana Alqudah, Mutasem Omar Taha	Computational workflow for discovering small molecular binders for shallow binding sites by integrating molecular dynamics simulation, pharmacophore modeling, and machine learning: STAT3 as case study.	J. Comput. Aided Mol. Des.	2023	DBLP DOI BibTeX RDF
9	Nour Jamal Jaradat, Mámon M. Hatmal, Dana Alqudah, Mutasem Omar Taha	Correction to: Computational workflow for discovering small molecular binders for shallow binding sites by integrating molecular dynamics simulation, pharmacophore modeling, and machine learning: STAT3 as case study.	J. Comput. Aided Mol. Des.	2023	DBLP DOI BibTeX RDF
9	Konrad Diedrich, Bennet Krause, Ole Berg, Matthias Rarey	PoseEdit: enhanced ligand binding mode communication by interactive 2D diagrams.	J. Comput. Aided Mol. Des.	2023	DBLP DOI BibTeX RDF
9	Lu Zhang, Haiyan Liu	Exploring binding positions and backbone conformations of peptide ligands of proteins with a backbone-centred statistical energy function.	J. Comput. Aided Mol. Des.	2023	DBLP DOI BibTeX RDF
9	Huafeng Xu	The slow but steady rise of binding free energy calculations in drug discovery.	J. Comput. Aided Mol. Des.	2023	DBLP DOI BibTeX RDF
9	Jinhong Ren, Tasneem M. Vaid, Hyun Lee, Isabel Ojeda, Michael E. Johnson	Evaluation of interactions between the hepatitis C virus NS3/4A and sulfonamidobenzamide based molecules using molecular docking, molecular dynamics simulations and binding free energy calculations.	J. Comput. Aided Mol. Des.	2023	DBLP DOI BibTeX RDF
9	Mackenzie Taylor, Junming Ho	MM/GBSA prediction of relative binding affinities of carbonic anhydrase inhibitors: effect of atomic charges and comparison with Autodock4Zn.	J. Comput. Aided Mol. Des.	2023	DBLP DOI BibTeX RDF
9	Yu Sun, Hongwei Wu, Zhengrong Xu, Zhenyu Yue, Ke Li	Prediction of hot spots in protein-DNA binding interfaces based on discrete wavelet transform and wavelet packet transform.	BMC Bioinform.	2023	DBLP DOI BibTeX RDF
9	Mingwei Pang, Wangqiu He, Xufeng Lu, Yuting She, Liangxu Xie, Ren Kong, Shan Chang	CoDock-Ligand: combined template-based docking and CNN-based scoring in ligand binding prediction.	BMC Bioinform.	2023	DBLP DOI BibTeX RDF
9	Katerina Faltejsková, Jirí Vondrásek	PAPerFly: Partial Assembly-based Peak Finder for ab initio binding site reconstruction.	BMC Bioinform.	2023	DBLP DOI BibTeX RDF
9	Chao Cao, Shuhong Yang, Mengli Li, Chungui Li	CircSSNN: circRNA-binding site prediction via sequence self-attention neural networks with pre-normalization.	BMC Bioinform.	2023	DBLP DOI BibTeX RDF
9	Yesol Sapozhnikov, Jagdish Suresh Patel, F. Marty Ytreberg, Craig R. Miller	Statistical modeling to quantify the uncertainty of FoldX-predicted protein folding and binding stability.	BMC Bioinform.	2023	DBLP DOI BibTeX RDF
9	Haixia Zhai, Hongli Hou, Junwei Luo, Xiaoyan Liu, Zhengjiang Wu, Junfeng Wang	DGDTA: dynamic graph attention network for predicting drug-target binding affinity.	BMC Bioinform.	2023	DBLP DOI BibTeX RDF
9	Jianqiu Wu, Hongyang Chen, Minhao Cheng, Haoyi Xiong	CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding Affinity.	BMC Bioinform.	2023	DBLP DOI BibTeX RDF
9	Manuel I. Osorio, Mircea Petrache, Dino G. Salinas, Felipe Valenzuela-Ibaceta, Fernando D. González Nilo, William Tiznado, José M. Pérez-Donoso, Denisse Bravo, Osvaldo Yañez	Steady State Kinetics for Enzymes with Multiple Binding Sites Upstream of the Catalytic Site.	Symmetry	2023	DBLP DOI BibTeX RDF
9	Lingam Srikanth, Mathi Senthilkumar	Investigation of binding update schemes in next generation internet protocol mobility.	Int. J. Adv. Intell. Paradigms	2023	DBLP DOI BibTeX RDF
9	Moses K. J. Chung, Ryan J. Miller, Borna Novak, Zhi Wang, Jay W. Ponder	Accurate Host-Guest Binding Free Energies Using the AMOEBA Polarizable Force Field.	J. Chem. Inf. Model.	2023	DBLP DOI BibTeX RDF
9	Bidhya Thapa, Narayan P. Adhikari, Purushottam B. Tiwari, Prem Chapagain	A 5′-Flanking C/G Pair at the Core Region Enhances the Recognition and Binding of Kaiso to Methylated DNA.	J. Chem. Inf. Model.	2023	DBLP DOI BibTeX RDF