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pro vyhledávání: '"Velankar A"'
Autor:
Amaro, Rommie, Åqvist, Johan, Bahar, Ivet, Battistini, Federica, Bellaiche, Adam, Beltran, Daniel, Biggin, Philip C., Bonomi, Massimiliano, Bowman, Gregory R., Bryce, Richard, Bussi, Giovanni, Carloni, Paolo, Case, David, Cavalli, Andrea, Chang, Chie-En A., Cheatham III, Thomas E., Cheung, Margaret S., Chipot, Cris, Chong, Lillian T., Choudhary, Preeti, Cisneros, Gerardo Andres, Clementi, Cecilia, Collepardo-Guevara, Rosana, Coveney, Peter, Covino, Roberto, Crawford, T. Daniel, Peraro, Matteo Dal, de Groot, Bert, Delemotte, Lucie, De Vivo, Marco, Essex, Jonathan, Fraternali, Franca, Gao, Jiali, Gelpí, Josep Lluís, Gervasio, Francesco Luigi, Gonzalez-Nilo, Fernando Danilo, Grubmüller, Helmut, Guenza, Marina, Guzman, Horacio V., Harris, Sarah, Head-Gordon, Teresa, Hernandez, Rigoberto, Hospital, Adam, Huang, Niu, Huang, Xuhui, Hummer, Gerhard, Iglesias-Fernández, Javier, Jensen, Jan H., Jha, Shantenu, Jiao, Wanting, Jorgensen, William L., Kamerlin, Shina Caroline Lynn, Khalid, Syma, Laughton, Charles, Levitt, Michael, Limongelli, Vittorio, Lindahl, Erik, Lindorff-Larsen, Kresten, Loverde, Sharon, Lundborg, Magnus, Luo, Yun Lyna, Luque, Francisco Javier, Lynch, Charlotte I., MacKerell, Alexander, Magistrato, Alessandra, Marrink, Siewert J., Martin, Hugh, McCammon, J. Andrew, Merz, Kenneth, Moliner, Vicent, Mulholland, Adrian, Murad, Sohail, Naganathan, Athi N., Nangia, Shikha, Noe, Frank, Noy, Agnes, Oláh, Julianna, O'Mara, Megan, Ondrechen, Mary Jo, Onuchic, José N., Onufriev, Alexey, Osuna, Silvia, Panchenko, Anna R., Pantano, Sergio, Parish, Carol, Parrinello, Michele, Perez, Alberto, Perez-Acle, Tomas, Perilla, Juan R., Pettitt, B. Montgomery, Pietropalo, Adriana, Piquemal, Jean-Philip, Poma, Adolfo, Praprotnik, Matej, Ramos, Maria J., Ren, Pengyu, Reuter, Nathalie, Roitberg, Adrian, Rosta, Edina, Rovira, Carme, Roux, Benoit, Röthlisberger, Ursula, Sanbonmatsu, Karissa Y., Schlick, Tamar, Shaytan, Alexey K., Simmerling, Carlos, Smith, Jeremy C., Sugita, Yuji, Świderek, Katarzyna, Taiji, Makoto, Tao, Peng, Tikhonova, Irina G., Tirado-Rives, Julian, Tunón, Inaki, Van Der Kamp, Marc W., Van der Spoel, David, Velankar, Sameer, Voth, Gregory A., Wade, Rebecca, Warshel, Ariel, Welborn, Valerie Vaissier, Wetmore, Stacey, Wong, Chung F., Yang, Lee-Wei, Zacharias, Martin, Orozco, Modesto
This letter illustrates the opinion of the molecular dynamics (MD) community on the need to adopt a new FAIR paradigm for the use of molecular simulations. It highlights the necessity of a collaborative effort to create, establish, and sustain a data
Externí odkaz:
http://arxiv.org/abs/2407.16584
Captcha are widely used to secure systems from automatic responses by distinguishing computer responses from human responses. Text, audio, video, picture picture-based Optical Character Recognition (OCR) are used for creating captcha. Text-based OCR
Externí odkaz:
http://arxiv.org/abs/2402.05417
Capillary suspensions are three-phase mixtures containing a solid particulate phase, a continuous liquid phase, and a second immiscible liquid forming capillary bridges between particles. Capillary suspensions are encountered in a wide array of appli
Externí odkaz:
http://arxiv.org/abs/2312.10562
Autor:
Kleywegt, Gerard J., Adams, Paul D., Butcher, Sarah J., Lawson, Cathy, Rohou, Alexis, Rosenthal, Peter B., Subramaniam, Sriram, Topf, Maya, Abbott, Sanja, Baldwin, Philip R., Berrisford, John M., Bricogne, Gérard, Choudhary, Preeti, Croll, Tristan I., Danev, Radostin, Ganesan, Sai J., Grant, Timothy, Gutmanas, Aleksandras, Henderson, Richard, Heymann, J. Bernard, Huiskonen, Juha T., Istrate, Andrei, Kato, Takayuki, Lander, Gabriel C., Lok, Shee-Mei, Ludtke, Steven J., Murshudov, Garib N., Pye, Ryan, Pintilie, Grigore D., Richardson, Jane S., Sachse, Carsten, Salih, Osman, Scheres, Sjors H. W., Schroeder, Gunnar F., Sorzano, Carlos Oscar S., Stagg, Scott M., Wang, Zhe, Warshamanage, Rangana, Westbrook, John D., Winn, Martyn D., Young, Jasmine Y., Burley, Stephen K., Hoch, Jeffrey C., Kurisu, Genji, Morris, Kyle, Patwardhan, Ardan, Velankar, Sameer
In January 2020, a workshop was held at EMBL-EBI (Hinxton, UK) to discuss data requirements for deposition and validation of cryoEM structures, with a focus on single-particle analysis. The meeting was attended by 45 experts in data processing, model
Externí odkaz:
http://arxiv.org/abs/2311.17640
Publikováno v:
ITM Web of Conferences, Vol 40, p 03026 (2021)
Machine Translation (MT) is a generic term for computerised systems that generate translations from one natural language to another, with or without human intervention. Text may be used to examine knowledge, and turning that information into pictures
Externí odkaz:
https://doaj.org/article/23e5b6d9a33f4e5aaede6f271ac2ad7f
Autor:
Midlik, Adam, Nair, Sreenath, Anyango, Stephen, Deshpande, Mandar, Sehnal, David, Varadi, Mihaly, Velankar, Sameer
Publikováno v:
Bioinformatics, Volume 39, Issue 12, December 2023, btad744
Summary: PDBImages is an innovative, open-source Node.js package that harnesses the power of the popular macromolecule structure visualization software Mol*. Designed for use by the scientific community, PDBImages provides a means to generate high-qu
Externí odkaz:
http://arxiv.org/abs/2308.00563
Autor:
Melanie Vollmar, Santosh Tirunagari, Deborah Harrus, David Armstrong, Romana Gáborová, Deepti Gupta, Marcelo Querino Lima Afonso, Genevieve Evans, Sameer Velankar
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-18 (2024)
Abstract We present a novel system that leverages curators in the loop to develop a dataset and model for detecting structure features and functional annotations at residue-level from standard publication text. Our approach involves the integration o
Externí odkaz:
https://doaj.org/article/f80bdb22b3a741edbcfa948b5d5090f0
The superiority of many natural surfaces at resisting soft, sticky biofoulants has inspired the integration of dynamic topography with mechanical instability to promote self-cleaning artificial surfaces. The physics behind this novel mechanism is cur
Externí odkaz:
http://arxiv.org/abs/2209.09387
The spread of hate speech on social media space is currently a serious issue. The undemanding access to the enormous amount of information being generated on these platforms has led people to post and react with toxic content that originates violence
Externí odkaz:
http://arxiv.org/abs/2209.05294
Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi
Transformers are the most eminent architectures used for a vast range of Natural Language Processing tasks. These models are pre-trained over a large text corpus and are meant to serve state-of-the-art results over tasks like text classification. In
Externí odkaz:
http://arxiv.org/abs/2204.08669