
1. Protein Structure Modeling with MODELLER Benjamin Webb, Andrej Sali 2. RaptorX Server: A Resource for Template-based Protein Structure Modeling Morten Kallberg, Gohar Margaryan, Sheng Wang, Jianzhu Ma and Jinbo Xu 3. The MULTICOM Protein Tertiary Structure Prediction System Jilong Li, Debswapna Bhattacharya, Renzhi Cao, Badri Adhikari, Xin Deng, Jesse Eickholt and Jianlin Cheng 4. Modeling of Protein Side-chain Conformations with RASP Miao Zhichao, Cao Yang and Jiang Taijiao 5. Direct Coupling Analysis for Protein Contact Prediction Faruck Morcos, Terence Hwa, Jose N. Onuchic, Martin Weigt 6. ITScorePro - An Efficient Scoring Program for Evaluating the Energy Scores of Protein Structures for Structure Prediction Sheng-You Huang and Xiaoqin Zou 7. Assessing the Quality of Modelled 3D Protein Structures using the ModFOLD Server Daniel Barry Roche, Maria Teresa Buenavista, and Liam James McGuffin 8. 3D-SURFER 2.0: Web Platform for Real-Time Search and Characterization of Protein Surfaces Yi Xiong, Juan Esquivel-Rodriguez, Lee Sael, and Daisuke Kihara 9. SPOT-Seq-RNA: Predicting Protein-RNA Complex Structure and RNA-binding Function by Fold Recognition and Binding Affinity Prediction Yuedong Yang, Huiying Zhao, Jihua Wang and Yaoqi Zhou 10. POODLE: Tools Predicting Intrinsically Disordered Regions of Amino Acid Sequence Kana Shimizu 11. Prediction of Intrinsic Disorder in Proteins using MFDp2 Marcin J Mizianty, Vladimir Uversky and Lukasz Kurgan 12. Modeling protein-protein Complexes using the HADDOCK Webserver G.C.P. van Zundert, and A.M.J.J. Bonvin 13. Predicting the Structure of Protein-protein Complexes using the SwarmDock Web Server Mieczyslaw Torchala and Paul A. Bates 14. DOCK/PIERR : Web Server for Structure Prediction of Protein--Protein Complexes S Viswanath, D.V.S. Ravikant and R Elber 15. Pairwise and Multimeric Protein-Protein Docking Using the LZerD Program Suite Juan Esquivel-Rodriguez, Vianney Filos-Gonzalez, Bin Li, and Daisuke Kihara 16. Protocols for Efficient Simulations of Long Time Protein Dynamics using Coarse-grained CABS Model Michal Jamroz, Andrzej Kolinski, Sebastian Kmiecik
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 21 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
